PmagPy Command Line Version¶
This notebook demonstrates the use of PmagPy command line scripts in parallel with the PmagPy cookbook http://earthref.org/PmagPy/cookbook. For more detailed descriptions of programs and examples of how to use them in a more sophisticated way from within a notebook, see the _PmagPy_nb version.
- What is PmagPy? A software package for analyzing paleomagnetic and rock magnetic data using Python.
- What are paleomagnetism and rock magnetism? See textbook at: https://earthref.org/MagIC/books/Tauxe/Essentials/
Installing Python and PmagPy¶
- If you haven't already installed Anaconda Python and PmagPy, follow these instructions: https://earthref.org/PmagPy/cookbook/#getting_python
Running this notebook¶
- To use this notebook, open your command line and type the following (exactly):
cd Desktop
move_data_files.py
cd PmagPy-data
jupyter notebook
- This will open a browser window, and you can then click on the notebook you want to run
Get started¶
- This notebook is meant to function from within the PmagPy-data directory and calls are relative to that.
- To specify a working directory, many programs have the hidden command line argument -WD.
- Run the code block below (click on the cell and then click 'Run'):
In [257]:
import os
import glob
from IPython.display import Image
import matplotlib as plt
basemap_present = True
try:
from mpl_toolkits.basemap import Basemap
except (ImportError, KeyError):
print("Your Python installation doesn't have Basemap. You won't be able to run certain plotting programs")
basemap_present = False
from pmag_env import set_env
Help¶
You can get more details about any program on your command line or in a notebook. There are many options available for each program, all of which are listed in each program's help message. To call up the help message, you just need to use the command line argument -h. See the examples below:
To get help within the notebook environment:
! program_name.py -h
To get help on the command line:
program_name.py -h
If you are running Windows, you may need to run:
program_name -h
Here's an example of calling up the help message for program angle.py:
In [2]:
!angle.py -h
NAME
angle.py
DESCRIPTION
calculates angle between two input directions D1,D2
INPUT (COMMAND LINE ENTRY)
D1_dec D1_inc D1_dec D2_inc
OUTPUT
angle
SYNTAX
angle.py [-h][-i] [command line options] [< filename]
OPTIONS
-h prints help and quits
-i for interactive data entry
-f FILE input filename
-F FILE output filename (required if -F set)
Standard I/O
_2g_bin_magic.py¶
In [3]:
!_2g_bin_magic.py -f data_files/convert_2_magic/2G_bin_magic/mn1/mn001-1a.dat
importing mn001-1a adding measurement column to measurements table! -I- writing measurements records to /Users/nebula/Python/PmagPy/measurements.txt -I- 19 records written to measurements file -I- writing specimens records to /Users/nebula/Python/PmagPy/specimens.txt -I- 1 records written to specimens file -I- writing samples records to /Users/nebula/Python/PmagPy/samples.txt -I- 1 records written to samples file -I- writing sites records to /Users/nebula/Python/PmagPy/sites.txt -I- 1 records written to sites file -I- writing locations records to /Users/nebula/Python/PmagPy/locations.txt -I- 1 records written to locations file -I- overwriting /Users/nebula/Python/PmagPy/measurements.txt -I- 19 records written to measurements file
aarm_magic.py¶
In [4]:
# with data model 3
os.remove('data_files/aarm_magic/specimens.txt')
!aarm_magic.py -DM 3 -WD data_files/aarm_magic/ -f new_aarm_measurements.txt
!cat data_files/aarm_magic/specimens.txt | head
7 records written to file /Users/nebula/Python/PmagPy/data_files/aarm_magic/specimens.txt specimen data stored in /Users/nebula/Python/PmagPy/data_files/aarm_magic/specimens.txt tab specimens aniso_ftest aniso_ftest12 aniso_ftest23 aniso_s aniso_s_mean aniso_s_n_measurements aniso_s_sigma aniso_s_unit aniso_tilt_correction aniso_type aniso_v1 aniso_v2 aniso_v3 description experiments method_codes sample specimen 1.0 0.2 1.3 0.139969 : 0.389261 : 0.470770 : 0.009580 : 0.014135 : 0.033578 1.637e-05 9 0.155646 Am^2 -1 AARM 0.476730 : 58.8 : 78.6 0.386936 : 269.1 : 9.9 0.136334 : 178.1 : 5.7 Critical F: 2.6848;Critical F12/F13: 3.4668 bg2.01:AARM LP-AN-ARM:AE-H bg2.01 1.0 0.0 1.7 0.143421 : 0.418835 : 0.437744 : 0.018009 : -0.000864 : 0.035844 1.417e-05 9 0.152697 Am^2 -1 AARM 0.442121 : 25.3 : 82.2 0.419912 : 266.8 : 3.7 0.137967 : 176.3 : 6.8 Critical F: 2.6848;Critical F12/F13: 3.4668 bg2.03:AARM LP-AN-ARM:AE-H bg2.03 1.2 0.2 1.5 0.144980 : 0.391036 : 0.463984 : -0.013284 : 0.014477 : 0.032984 1.294e-05 9 0.143014 Am^2 -1 AARM 0.469547 : 60.6 : 79.1 0.389712 : 274.3 : 9.1 0.140741 : 183.4 : 6.0 Critical F: 2.6848;Critical F12/F13: 3.4668 bg2.06:AARM LP-AN-ARM:AE-H bg2.06 1.4 0.5 1.3 0.128271 : 0.365758 : 0.505971 : 0.004384 : -0.008686 : 0.077693 1.369e-05 9 0.157562 Am^2 -1 AARM 0.521706 : 345.7 : 78.5 0.365522 : 88.1 : 2.5 0.112772 : 178.6 : 11.2 Critical F: 2.6848;Critical F12/F13: 3.4668 bg2.07:AARM LP-AN-ARM:AE-H bg2.07 0.8 0.0 1.3 0.148865 : 0.454581 : 0.396554 : -0.003869 : -0.017902 : 0.098967 1.349e-05 9 0.191916 Am^2 -1 AARM 0.464521 : 279.9 : 27.0 0.421316 : 58.5 : 55.8 0.114164 : 179.6 : 19.3 Critical F: 2.6848;Critical F12/F13: 3.4668 bg2.08:AARM LP-AN-ARM:AE-H bg2.08 1.5 0.3 1.8 0.139334 : 0.386335 : 0.474331 : 0.023050 : 0.018611 : -0.000837 1.772e-05 9 0.129887 Am^2 -1 AARM 0.478148 : 86.8 : 78.4 0.384671 : 264.6 : 11.6 0.137182 : 354.7 : 0.4 Critical F: 2.6848;Critical F12/F13: 3.4668 bg2.09:AARM LP-AN-ARM:AE-H bg2.09 1.1 0.0 1.9 0.136281 : 0.420308 : 0.443411 : -0.010600 : -0.005003 : -0.045069 1.405e-05 9 0.150853 Am^2 -1 AARM 0.450289 : 220.1 : 79.7 0.420339 : 93.1 : 6.3 0.129373 : 2.2 : 8.2 Critical F: 2.6848;Critical F12/F13: 3.4668 bg2.12:AARM LP-AN-ARM:AE-H bg2.12
In [5]:
# with data model 2
!sio_magic2.py -f data_files/aarm_magic/arm_magic_example.dat -loc Bushveld -LP AF:ANI \
-F data_files/aarm_magic/aarm_measurements.txt -ncn 3 -ac 180 -dc 50 -1 -1
!aarm_magic.py -DM 2 -f data_files/aarm_magic/aarm_measurements.txt
126 records written to file data_files/aarm_magic/aarm_measurements.txt results put in data_files/aarm_magic/aarm_measurements.txt 7 records written to file /Users/nebula/Python/PmagPy/rmag_anisotropy.txt specimen tensor elements stored in /Users/nebula/Python/PmagPy/rmag_anisotropy.txt 7 records written to file /Users/nebula/Python/PmagPy/rmag_results.txt specimen statistics and eigenparameters stored in /Users/nebula/Python/PmagPy/rmag_results.txt
agm_magic.py¶
In [6]:
# note: example data files are in old format
!agm_magic.py -spn myspec --usr ‘‘Lima Tango‘‘ -f data_files/convert_2_magic/agm_magic/agm_magic_example.agm -u cgs -old
-I- writing specimens records to /Users/nebula/Python/PmagPy/myspec_specimens.txt -I- 1 records written to specimens file -I- overwriting /Users/nebula/Python/PmagPy/samples.txt -I- 1 records written to samples file -I- overwriting /Users/nebula/Python/PmagPy/sites.txt -I- 1 records written to sites file -I- writing locations records to /Users/nebula/Python/PmagPy/myspec_locations.txt -I- 1 records written to locations file -I- writing measurements records to /Users/nebula/Python/PmagPy/myspec.magic -I- 284 records written to measurements file
angle.py¶
In [7]:
!angle.py -f data_files/angle/angle.dat
75.9 119.1 103.7 81.4 120.1 100.9 95.1 74.1 78.4 120.1 114.4 66.3 85.4 95.1 93.8 93.1 105.4 71.8 104.0 93.8 93.3 96.3 90.1 112.2 90.1 120.0 75.3 86.2 85.9 82.6 115.5 99.3 65.9 90.6 90.5 84.5 93.0 67.5 76.8 83.8 128.3 91.7 46.9 110.7 103.7 64.4 81.9 94.0 121.2 83.6 113.7 76.4 113.4 74.1 79.4 74.9 90.6 91.4 112.7 77.3 77.1 62.4 88.4 106.3 100.6 143.8 104.9 91.8 96.2 85.6 65.6 88.6 75.6 93.4 101.3 115.1 86.7 92.3 91.9 102.4 78.9 93.4 88.1 94.5 77.0 110.4 89.2 80.9 100.4 91.9 107.1 115.8 111.3 124.6 88.1 66.9 99.9 76.7 71.4 100.8
ani_depthplot.py¶
In [8]:
# OSX users with pip install should use:
#!ani_depthplot_anaconda -f data_files/ani_depthplot/rmag_anisotropy.txt -fsa data_files/ani_depthplot/er_samples.txt \
# -fb data_files/ani_depthplot/magic_measurements.txt -sav -fmt png -DM 2
!ani_depthplot.py -f data_files/ani_depthplot/rmag_anisotropy.txt -fsa data_files/ani_depthplot/er_samples.txt \
-fb data_files/ani_depthplot/magic_measurements.txt -sav -fmt png -DM 2
#Image(filename='U1361A_ani_depthplot.png')
-I- getting data model, please be patient -I- Importing MagIC GUI dependencies -I- Importing Pmag GUI dependencies -I- getting data model, please be patient -I- Importing MagIC GUI dependencies -I- getting data model, please be patient Using default arguments for: -F, -A, -WD, -ID, -Fsa, -Fsi, -fa, -fsum, -ds, -d, -fsp Saved file: U1361A_ani_depthplot.png
In [9]:
# OSX users with pip install should use:
# !ani_depthplot_anaconda -DM 3 -WD data_files/ani_depthplot -sav -fmt png
os.remove('U1361A_ani_depthplot.png')
!ani_depthplot.py -DM 3 -WD data_files/ani_depthplot -sav -fmt png
Image('U1361A_ani_depthplot.png')
-I- getting data model, please be patient -I- Importing MagIC GUI dependencies -I- Importing Pmag GUI dependencies -I- getting data model, please be patient -I- Importing MagIC GUI dependencies -I- getting data model, please be patient Using default arguments for: -f, -F, -A, -ID, -Fsa, -Fsi, -fb, -fsa, -fa, -fsum, -ds, -d, -fsp Saved file: U1361A_ani_depthplot.png
Out[9]:
aniso_magic.py¶
In [10]:
!aniso_magic.py -WD data_files/aniso_magic -crd s -f sed_specimens.txt -sav -fmt png -v -d 3 0 90 -n 300
-W- Couldn't read in samples data -I- Make sure you've provided the correct file name -W- Couldn't read in samples data -I- Make sure you've provided the correct file name Doing bootstrap - be patient 1 saved in _g_aniso-data.png 2 saved in _g_aniso-conf.png 3 saved in _g_aniso-tcdf.png 4 saved in _g_aniso-vxcdf.png 5 saved in _g_aniso-vycdf.png 6 saved in _g_aniso-vzcdf.png
In [11]:
Image("_g_aniso-data.png")
Out[11]:
In [12]:
Image("_g_aniso-conf.png")
Out[12]:
In [13]:
Image("_g_aniso-tcdf.png")
Out[13]:
In [14]:
Image("_g_aniso-vxcdf.png")
Out[14]:
In [15]:
Image("_g_aniso-vycdf.png")
Out[15]:
In [16]:
Image("_g_aniso-vzcdf.png")
Out[16]:
aniso_magic2.py¶
In [17]:
!aniso_magic2.py -f data_files/aniso_magic/dike_anisotropy.txt -gtc 110 2 -par -v -crd g \
-F data_files/aniso_magic/rmag_results.txt -fmt png -sav -n 300
Doing bootstrap - be patient 1 saved in Scripps Beach_g_TY__aniso-data_.png 2 saved in Scripps Beach_g_TY__aniso-conf_.png 3 saved in Scripps Beach_g_TY__aniso-tcdf_.png 7 records written to file ./data_files/aniso_magic/rmag_results.txt
In [18]:
Image(filename='Scripps Beach_g_TY__aniso-tcdf_.png')
Out[18]:
In [19]:
Image(filename='Scripps Beach_g_TY__aniso-data_.png')
Out[19]:
In [20]:
Image(filename='Scripps Beach_g_TY__aniso-conf_.png')
Out[20]:
apwp.py¶
In [21]:
!apwp.py -f data_files/apwp/apwp_example.dat
100.0 38.8 352.4 58.1 81.5 198.3
atrm_magic.py¶
In [22]:
os.remove('data_files/atrm_magic/specimens.txt')
!atrm_magic.py -WD data_files/atrm_magic -f new_atrm_measurements.txt
!cat data_files/atrm_magic/specimens.txt | head
-W- /Users/nebula/Python/PmagPy/data_files/atrm_magic/specimens.txt is not a valid specimens file 30 records written to file /Users/nebula/Python/PmagPy/data_files/atrm_magic/specimens.txt specimen data stored in /Users/nebula/Python/PmagPy/data_files/atrm_magic/specimens.txt tab specimens aniso_ftest aniso_ftest12 aniso_ftest23 aniso_s aniso_s_mean aniso_s_n_measurements aniso_s_sigma aniso_s_unit aniso_tilt_correction aniso_type aniso_v1 aniso_v2 aniso_v3 description experiments method_codes sample specimen 15.8 2.8 19.5 0.320620 : 0.340852 : 0.338528 : 0.010075 : -0.002932 : 0.027117 1.948e-08 6 0.006994 Am^2 -1 ATRM 0.358892 : 19.3 : 50.4 0.342419 : 266.5 : 17.8 0.298689 : 163.9 : 34.0 Critical F: 3.1059;Critical F12/F13: 3.8853 ak01a:ATRM LP-AN-TRM:AE-H ak01a 1.8 0.2 2.5 0.351180 : 0.343893 : 0.304926 : 0.001119 : -0.000509 : -0.012140 7.400e-09 6 0.018660 Am^2 -1 ATRM 0.354313 : 186.8 : 13.8 0.343755 : 96.5 : 1.3 0.301933 : 1.3 : 76.2 Critical F: 3.1059;Critical F12/F13: 3.8853 ak01b:ATRM LP-AN-TRM:AE-H ak01b 7.1 0.4 10.9 0.339590 : 0.327797 : 0.332613 : -0.027877 : 0.023913 : 0.016300 2.045e-08 6 0.013637 Am^2 -1 ATRM 0.362559 : 136.5 : 8.8 0.350488 : 33.1 : 56.2 0.286953 : 232.1 : 32.3 Critical F: 3.1059;Critical F12/F13: 3.8853 ak01c:ATRM LP-AN-TRM:AE-H ak01c 3.3 0.1 5.5 0.315177 : 0.343196 : 0.341626 : -0.000310 : 0.001497 : 0.009358 1.674e-08 6 0.009116 Am^2 -1 ATRM 0.345411 : 64.4 : 54.9 0.342406 : 281.7 : 29.2 0.312183 : 181.5 : 17.7 Critical F: 3.1059;Critical F12/F13: 3.8853 ak01d:ATRM LP-AN-TRM:AE-H ak01d 20.5 9.7 16.2 0.350156 : 0.345154 : 0.304690 : 0.019606 : -0.010957 : 0.012371 1.322e-08 6 0.007063 Am^2 -1 ATRM 0.367495 : 40.5 : 2.1 0.336349 : 309.4 : 27.3 0.296157 : 134.5 : 62.6 Critical F: 3.1059;Critical F12/F13: 3.8853 ak03a:ATRM LP-AN-TRM:AE-H ak03a 7.9 1.5 9.4 0.344158 : 0.306198 : 0.349644 : -0.003284 : -0.020702 : 0.004837 8.963e-09 6 0.010188 Am^2 -1 ATRM 0.359991 : 313.7 : 60.5 0.342129 : 186.2 : 19.0 0.297879 : 88.3 : 21.7 Critical F: 3.1059;Critical F12/F13: 3.8853 ak03b:ATRM LP-AN-TRM:AE-H ak03b 102.8 7.8 150.7 0.302977 : 0.350641 : 0.346382 : 0.002240 : -0.006580 : 0.016298 1.020e-08 6 0.002803 Am^2 -1 ATRM 0.356930 : 285.4 : 45.3 0.345867 : 69.4 : 38.6 0.297204 : 175.2 : 18.9 Critical F: 3.1059;Critical F12/F13: 3.8853 ak03c:ATRM LP-AN-TRM:AE-H ak03c 12.8 4.2 12.5 0.341299 : 0.310807 : 0.347894 : 0.010964 : -0.003338 : -0.008051 2.305e-08 6 0.006057 Am^2 -1 ATRM 0.355190 : 198.9 : 50.0 0.337549 : 16.7 : 40.0 0.307261 : 107.6 : 1.0 Critical F: 3.1059;Critical F12/F13: 3.8853 ak04a:ATRM LP-AN-TRM:AE-H ak04a
In [23]:
# with MagIC 2
!sio_magic2.py -f data_files/atrm_magic/atrm_magic_example.dat -loc Africa -LP T:ANI\
-F data_files/atrm_magic/atrm_measurements.txt -ncn 1 -dc 40 -1 -1
!atrm_magic.py -DM 2 -f data_files/atrm_magic/atrm_measurements.txt\
-Fa data_files/atrm_magic/trm_anisotropy.txt -Fr data_files/atrm_magic/atrm_results.txt
210 records written to file data_files/atrm_magic/atrm_measurements.txt results put in data_files/atrm_magic/atrm_measurements.txt 30 records written to file ./rmag_anisotropy.txt specimen tensor elements stored in ./rmag_anisotropy.txt 30 records written to file ./rmag_results.txt specimen statistics and eigenparameters stored in ./rmag_results.txt
azdip_magic.py¶
In [24]:
# MagIC 3
!azdip_magic.py -f data_files/azdip_magic/azdip_magic_example.dat -ncn 1\
-mcd FS-FD:SO-POM -loc "Northern Iceland" -DM 3 -WD data_files/azdip_magic
!cat data_files/azdip_magic/samples.txt | head
Using default arguments for: -F, -A, -ID, -Fsa, -Fsi, -app 916 records written to file /Users/nebula/Python/PmagPy/data_files/azdip_magic/samples.txt Data saved in /Users/nebula/Python/PmagPy/data_files/azdip_magic/samples.txt tab samples azimuth bed_dip bed_dip_direction citations dip location method_codes sample site software_packages 183.0 5.0 59.0 This study 76.0 Northern Iceland FS-FD:SO-POM is001a is001 pmagpy-4.0.0 207.0 5.0 59.0 This study 80.0 Northern Iceland FS-FD:SO-POM is001b is001 pmagpy-4.0.0 192.0 5.0 59.0 This study 59.0 Northern Iceland FS-FD:SO-POM is001c is001 pmagpy-4.0.0 276.0 5.0 59.0 This study 79.0 Northern Iceland FS-FD:SO-POM is001d is001 pmagpy-4.0.0 198.0 5.0 59.0 This study 34.0 Northern Iceland FS-FD:SO-POM is001e is001 pmagpy-4.0.0 203.0 5.0 59.0 This study 64.0 Northern Iceland FS-FD:SO-POM is001f is001 pmagpy-4.0.0 230.0 5.0 59.0 This study 48.0 Northern Iceland FS-FD:SO-POM is001g is001 pmagpy-4.0.0 310.0 5.0 59.0 This study 56.0 Northern Iceland FS-FD:SO-POM is001h is001 pmagpy-4.0.0
In [25]:
# MagIC 2.5
!azdip_magic.py -f data_files/azdip_magic/azdip_magic_example.dat -ncn 1\
-mcd FS-FD:SO-POM -loc "Northern Iceland" -Fsa data_files/azdip_magic/er_samples.txt -DM 2
! cat data_files/azdip_magic/er_samples.txt | head
Using default arguments for: -F, -A, -WD, -ID, -Fsi, -app 916 records written to file /Users/nebula/Python/PmagPy/data_files/azdip_magic/er_samples.txt Data saved in /Users/nebula/Python/PmagPy/data_files/azdip_magic/er_samples.txt tab er_samples er_citation_names er_location_name er_sample_name er_site_name magic_method_codes magic_software_packages sample_azimuth sample_bed_dip sample_bed_dip_direction sample_dip This study Northern Iceland is001a is001 FS-FD:SO-POM pmagpy-4.0.0 183.0 5.0 59.0 76.0 This study Northern Iceland is001b is001 FS-FD:SO-POM pmagpy-4.0.0 207.0 5.0 59.0 80.0 This study Northern Iceland is001c is001 FS-FD:SO-POM pmagpy-4.0.0 192.0 5.0 59.0 59.0 This study Northern Iceland is001d is001 FS-FD:SO-POM pmagpy-4.0.0 276.0 5.0 59.0 79.0 This study Northern Iceland is001e is001 FS-FD:SO-POM pmagpy-4.0.0 198.0 5.0 59.0 34.0 This study Northern Iceland is001f is001 FS-FD:SO-POM pmagpy-4.0.0 203.0 5.0 59.0 64.0 This study Northern Iceland is001g is001 FS-FD:SO-POM pmagpy-4.0.0 230.0 5.0 59.0 48.0 This study Northern Iceland is001h is001 FS-FD:SO-POM pmagpy-4.0.0 310.0 5.0 59.0 56.0
bgc_magic.py¶
In [26]:
!bgc_magic.py -f data_files/convert_2_magic/BGC_magic/15HHA1-2A
mag_file in bgc_magic ./data_files/convert_2_magic/BGC_magic/15HHA1-2A adding measurement column to measurements table! -I- overwriting /Users/nebula/Python/PmagPy/measurements.txt -I- 21 records written to measurements file -I- overwriting /Users/nebula/Python/PmagPy/specimens.txt -I- 1 records written to specimens file -I- overwriting /Users/nebula/Python/PmagPy/samples.txt -I- 1 records written to samples file -I- overwriting /Users/nebula/Python/PmagPy/sites.txt -I- 1 records written to sites file -I- overwriting /Users/nebula/Python/PmagPy/locations.txt -I- 1 records written to locations file -I- overwriting /Users/nebula/Python/PmagPy/measurements.txt -I- 21 records written to measurements file
b_vdm.py¶
In [27]:
!b_vdm.py -f data_files/b_vdm/b_vdm_example.dat
7.159e+22
bootams.py¶
In [28]:
!bootams.py -par -f data_files/bootams/bootams_example.dat -n 300
Doing bootstrap - be patient tau tau_sigma V_dec V_inc V_eta V_eta_dec V_eta_inc V_zeta V_zeta_dec V_zeta_inc 0.33505 0.00021 5.3 14.7 11.5 266.6 29.0 27.1 122.5 55.7 0.33334 0.00023 124.5 61.7 20.1 236.7 10.8 23.9 331.6 24.4 0.33161 0.00027 268.8 23.6 10.5 7.4 19.7 21.3 134.0 59.1
In [29]:
!bootams.py -f data_files/bootams/bootams_example.dat -n 300
Doing bootstrap - be patient tau tau_sigma V_dec V_inc V_eta V_eta_dec V_eta_inc V_zeta V_zeta_dec V_zeta_inc 0.33505 0.00024 5.3 14.7 10.7 259.6 41.5 13.9 110.1 44.2 0.33334 0.00021 124.5 61.7 6.7 224.5 5.5 17.5 317.5 28.6 0.33161 0.00014 268.8 23.6 11.4 1.8 11.9 12.8 116.3 63.1
cart_dir.py¶
In [30]:
!cart_dir.py -f data_files/cart_dir/cart_dir_example.dat
340.0 65.0 1.000e+00 176.0 -55.0 1.000e+00
chartmaker.py¶
You can't do chartmaker from within the notebook. And chi_magic.py is still a bit buggy (problem with legend and 4th plot still shows up.)
chi_magic.py¶
In [31]:
!chi_magic.py -f data_files/chi_magic/measurements.txt -fmt png -sav
Not enough data to plot IRM-Kappa-2352 1 saved in IRM-OldBlue-1892_temperature.png 2 saved in IRM-OldBlue-1892_frequency.png
In [32]:
Image('IRM-OldBlue-1892_temperature.png')
Out[32]:
In [33]:
!chi_magic2.py -f data_files/chi_magic/chi_magic_example.dat -fmt png -sav
IRM-Kappa-2352 1 out of 2 IRM-OldBlue-1892 2 out of 2 Skipping susceptibitily - AC field plot as a function of temperature 1 saved in IRM-OldBlue-1892_1.png 2 saved in IRM-OldBlue-1892_2.png 3 saved in IRM-OldBlue-1892_3.png
In [34]:
Image(filename='IRM-OldBlue-1892_1.png')
Out[34]:
In [35]:
Image(filename='IRM-OldBlue-1892_3.png')
Out[35]:
In [36]:
Image(filename='IRM-OldBlue-1892_2.png')
Out[36]:
cit_magic.py¶
In [37]:
!cit_magic.py -f data_files/convert_2_magic/cit_magic/PI47/PI47-.sam -loc "Slate Islands" \
-spc 1 -ncn 2 -mcd "FS-FD:SO-MAG" -A
PI47- Warning: Specimen volume set to 1.0. Warning: If volume/mass really is 1.0, set volume/mass to 1.001 Warning: specimen method code LP-NOMAG set. Warning: Specimen volume set to 1.0. Warning: If volume/mass really is 1.0, set volume/mass to 1.001 Warning: specimen method code LP-NOMAG set. Warning: Specimen volume set to 1.0. Warning: If volume/mass really is 1.0, set volume/mass to 1.001 Warning: specimen method code LP-NOMAG set. Warning: Specimen volume set to 1.0. Warning: If volume/mass really is 1.0, set volume/mass to 1.001 Warning: specimen method code LP-NOMAG set. Warning: Specimen volume set to 1.0. Warning: If volume/mass really is 1.0, set volume/mass to 1.001 Warning: specimen method code LP-NOMAG set. Warning: Specimen volume set to 1.0. Warning: If volume/mass really is 1.0, set volume/mass to 1.001 Warning: specimen method code LP-NOMAG set. Warning: Specimen volume set to 1.0. Warning: If volume/mass really is 1.0, set volume/mass to 1.001 Warning: specimen method code LP-NOMAG set. Warning: Specimen volume set to 1.0. Warning: If volume/mass really is 1.0, set volume/mass to 1.001 Warning: specimen method code LP-NOMAG set. Warning: Specimen volume set to 1.0. Warning: If volume/mass really is 1.0, set volume/mass to 1.001 Warning: specimen method code LP-NOMAG set. adding measurement column to measurements table! -I- overwriting /Users/nebula/Python/PmagPy/measurements.txt -I- 266 records written to measurements file -I- overwriting /Users/nebula/Python/PmagPy/specimens.txt -I- 9 records written to specimens file -I- overwriting /Users/nebula/Python/PmagPy/samples.txt -I- 9 records written to samples file -I- overwriting /Users/nebula/Python/PmagPy/sites.txt -I- 1 records written to sites file -I- overwriting /Users/nebula/Python/PmagPy/locations.txt -I- 1 records written to locations file -I- overwriting /Users/nebula/Python/PmagPy/measurements.txt -I- 266 records written to measurements file
combine_magic.py¶
MagIC tables have many columns only some of which are used in a particular instance. So combining files of the same type must be done carefully to ensure that the right data come under the right headings. The program combine_magic.py can be used to combine any number of MagIC files from a given type.
In [38]:
!combine_magic.py -WD data_files/combine_magic -F measurements.txt -f af_measurements.txt therm_measurements.txt
Using default arguments for: -A, -ID, -Fsa, -Fsi, -dm -I- overwriting /Users/nebula/Python/PmagPy/data_files/combine_magic/measurements.txt -I- 58 records written to measurements file
common_mean.py¶
In [39]:
!common_mean.py -f data_files/common_mean/common_mean_ex_file1.dat\
-f2 data_files/common_mean/common_mean_ex_file2.dat -sav -fmt png
Doing first set of directions, please be patient.. Doing second set of directions, please be patient.. 1 saved in CD_X.png 2 saved in CD_Y.png 3 saved in CD_Z.png
In [40]:
Image(filename='CD_X.png')
Out[40]:
In [41]:
Image(filename='CD_Y.png')
Out[41]:
In [42]:
Image(filename='CD_Z.png')
Out[42]:
cont_rot.py¶
In [43]:
!cont_rot.py -con af:sam -prj ortho\
-eye -20 0 -sym k- 1 -age 180 -res l -fmt png -sav
1 saved in Cont_rot.png
In [44]:
if basemap_present:
image = Image(filename="Cont_rot.png")
else:
image = None
image
Out[44]:
core_depthplot.py¶
In [45]:
# OSX users with pip install should use:
#!core_depthplot_anaconda -fsa data_files/core_depthplot/er_samples.txt -LP AF 15 \
# -f data_files/core_depthplot/magic_measurements.txt -log \
# -d 50 150 -ts gts12 23 34 -D -fmt png -sav -DM 2
# test with MagIC 2.5
!core_depthplot.py -fsa data_files/core_depthplot/er_samples.txt -LP AF 15 \
-f data_files/core_depthplot/magic_measurements.txt -log \
-d 50 150 -ts gts12 23 34 -D -fmt png -sav -DM 2
-I- getting data model, please be patient -I- Importing MagIC GUI dependencies -I- Importing Pmag GUI dependencies -I- getting data model, please be patient -I- Importing MagIC GUI dependencies -I- getting data model, please be patient Using default arguments for: -F, -A, -WD, -ID, -Fsa, -Fsi, -fsum, -fwig, -fa, -fsp, -fres, -n, -L, -S, -I, -M, -ds, -sym 9328 measurements read in from /Users/nebula/Python/PmagPy/data_files/core_depthplot/magic_measurements.txt using intensity key: measurement_magn_mass 2332 depths found -I- Created plot: DSDP Site 522_m__LT-AF-Z_core-depthplot.png
In [46]:
Image(filename='DSDP Site 522_m__LT-AF-Z_core-depthplot.png')
Out[46]:
In [47]:
# OSX users with pip install should use:
#!core_depthplot_anaconda -DM 3 -fsa ./data_files/core_depthplot/samples.txt -LP AF 15 \
# -f ./data_files/core_depthplot/measurements.txt -log \
# -d 50 150 -ts gts12 23 34 -D -fmt png -sav -DM 3 -ID ./data_files/core_depthplot
try:
os.remove('DSDP Site 522_m__LT-AF-Z_core-depthplot.png')
except FileNotFoundError:
pass
!core_depthplot.py -DM 3 -fsa ./data_files/core_depthplot/samples.txt -LP AF 15 \
-f ./data_files/core_depthplot/measurements.txt -log \
-d 50 150 -ts gts12 23 34 -D -fmt png -sav -DM 3 -ID ./data_files/core_depthplot
-I- getting data model, please be patient -I- Importing MagIC GUI dependencies -I- Importing Pmag GUI dependencies -I- getting data model, please be patient -I- Importing MagIC GUI dependencies -I- getting data model, please be patient Using default arguments for: -F, -A, -WD, -Fsa, -Fsi, -fsum, -fwig, -fa, -fsp, -fres, -n, -L, -S, -I, -M, -ds, -sym -W- Column 'composite_depth' isn't in sites table, skipping it 9328 measurements read in from /Users/nebula/Python/PmagPy/data_files/core_depthplot/measurements.txt using intensity key: magn_mass 2332 depths found -I- Created plot: DSDP Site 522_m__LT-AF-Z_core-depthplot.png
In [48]:
Image('DSDP Site 522_m__LT-AF-Z_core-depthplot.png')
Out[48]:
In [49]:
# OSX users with pip install should use:
#!core_depthplot_anaconda -DM 3 -fa ./data_files/core_depthplot/ages.txt -LP AF 15 \
# -f ./data_files/core_depthplot/measurements.txt -log \
# -ts gts12 23 34 -D -fmt png -sav -DM 3 -ID ./data_files/core_depthplot
try:
os.remove('DSDP Site 522_m__LT-AF-Z_core-depthplot.png')
except FileNotFoundError:
pass
!core_depthplot.py -DM 3 -fa ./data_files/core_depthplot/ages.txt -LP AF 15 \
-f ./data_files/core_depthplot/measurements.txt -log \
-ts gts12 23 34 -D -fmt png -sav -DM 3 -ID ./data_files/core_depthplot # not a meaningful option with age -d 50 150
-I- getting data model, please be patient -I- Importing MagIC GUI dependencies -I- Importing Pmag GUI dependencies -I- getting data model, please be patient -I- Importing MagIC GUI dependencies -I- getting data model, please be patient Using default arguments for: -F, -A, -WD, -Fsa, -Fsi, -fsum, -fwig, -fsa, -fsp, -fres, -n, -d, -L, -S, -I, -M, -ds, -sym -W- Column 'composite_depth' isn't in sites table, skipping it -I- Adding age_high and age_low to locations table based on minimum/maximum ages found in sites table 9328 measurements read in from /Users/nebula/Python/PmagPy/data_files/core_depthplot/measurements.txt using intensity key: magn_mass 2332 depths found -I- Created plot: DSDP Site 522_m__LT-AF-Z_core-depthplot.png
In [50]:
Image('DSDP Site 522_m__LT-AF-Z_core-depthplot.png')
Out[50]:
curie.py¶
In [51]:
!curie.py -f data_files/curie/curie_example.dat -w 10 -fmt png -sav
second derivative maximum is at T=552 1 saved in M_T.png 2 saved in der1.png 3 saved in der2.png 4 saved in Curie.png
In [52]:
Image(filename='M_T.png')
Out[52]:
dayplot_magic.py¶
In [53]:
!dayplot_magic.py -WD data_files/dayplot_magic -f specimens.txt -sav -fmt png
1 saved in _day.png 2 saved in _S-Bc.png 3 saved in _S-Bcr.png
In [54]:
Image("_day.png")
Out[54]:
dayplot_magic2.py¶
In [55]:
!dayplot_magic2.py -WD data_files/dayplot_magic/ -f dayplot_magic_example.dat \
-fmt png -sav
1 saved in unknown_day.png 2 saved in unknown_S-Bc.png 3 saved in unknown_S-Bcr.png
In [56]:
Image(filename='unknown_day.png')
Out[56]:
demag_gui.py¶
Use demag_gui.py from the command line or from within pmag_gui.py (Pmag GUI).
di_eq.py¶
In [57]:
!di_eq.py -f data_files/di_eq/di_eq_example.dat
-0.239410 -0.893491 0.436413 0.712161 0.063844 0.760300 0.321447 0.686216 0.322720 0.670562 0.407412 0.540654 0.580156 0.340376 0.105351 0.657728 0.247173 0.599687 0.182349 0.615600 0.174815 0.601717 0.282746 0.545472 0.264863 0.538273 0.235758 0.534536 0.290665 0.505482 0.260629 0.511513 0.232090 0.516423 0.244448 0.505666 0.277927 0.464381 0.250510 0.477152 0.291770 0.440816 0.108769 0.516148 0.196706 0.482014 0.349390 0.381292 0.168407 0.475566 0.206286 0.446444 0.175701 0.450649 0.301104 0.378539 0.204955 0.423970 0.199755 0.422584 0.346920 0.308010 0.119030 0.441144 0.239848 0.376486 0.269528 0.342510 0.085451 0.423789 0.192224 0.387233 0.172608 0.395084 0.272008 0.320741 0.393981 0.117451 -0.017726 0.406002 0.154273 0.367000 0.213903 0.335760 0.103221 0.372202 0.231833 0.283245 0.072160 0.351538 0.007802 0.319236 0.152583 0.265350 0.248133 0.136412
di_geo.py¶
In [58]:
!di_geo.py -f data_files/di_geo/di_geo_example.dat -F data_files/di_geo/di_geo.out
!cat data_files/di_geo/di_geo.out | head
data_files/di_geo/di_geo.out opened for output 12.4 19.0 15.0 15.6 10.7 18.2 11.4 19.0 12.4 17.2 357.3 15.2 353.9 21.7 353.8 21.6 340.5 25.3 342.6 27.5
di_rot.py¶
In [59]:
!eqarea.py -f data_files/di_rot/di_rot_example.txt -fmt png -sav
Image(filename='di_rot_example_eq.png')
1 saved in di_rot_example_eq.png
Out[59]:
In [60]:
!di_rot.py -f data_files/di_rot/di_rot_example.txt -F data_files/di_rot/dirot.out -D 359.3 -I 42.1
!eqarea.py -f data_files/di_rot/dirot.out -fmt png -sav
1 saved in dirot_eq.png
In [61]:
Image(filename='dirot_eq.png')
Out[61]:
di_tilt.py¶
In [62]:
!di_tilt.py < data_files/di_tilt/di_tilt_example.dat
37.5 49.6
336.5 60.9
338.0 23.0
355.7 7.5
8.2 58.6
6.2 29.8
357.0 50.0
342.8 58.6
339.3 0.3
3.9 21.7
354.3 49.0
0.3 48.6
335.8 64.0
18.1 32.8
353.9 31.3
30.8 48.1
28.0 42.6
352.8 38.6
351.4 47.9
15.0 5.8
201.4 -27.4
194.5 -60.3
151.7 -34.4
202.4 -54.6
178.1 13.5
174.2 -38.4
192.5 -44.2
182.4 -10.1
187.2 -51.7
158.1 0.5
181.3 -36.6
194.1 -47.0
158.2 -7.0
204.1 -24.0
177.7 -36.9
179.3 -53.7
173.7 -27.8
186.3 14.8
168.9 -37.3
168.2 -23.5
13.3 42.3
348.4 55.8
353.9 54.8
8.7 39.2
340.0 7.0
336.2 47.9
3.8 25.4
14.3 15.7
323.9 36.7
12.7 56.4
14.2 51.6
348.7 11.4
345.1 26.8
350.4 47.4
352.3 7.3
3.9 32.2
31.9 67.9
8.1 47.2
32.6 48.6
18.9 1.5
159.5 -48.4
164.1 -8.8
168.1 -49.8
173.4 -38.0
169.6 -25.6
201.1 -38.6
189.2 3.2
168.2 -22.8
166.3 -51.6
178.5 -26.6
179.6 -27.0
180.1 -29.0
172.0 -47.0
171.0 -38.9
177.8 -58.0
195.0 -25.7
188.4 -56.8
166.3 -27.0
182.3 -57.6
181.9 -40.0
di_vgp.py¶
In [63]:
!di_vgp.py -f data_files/di_vgp/di_vgp_example.dat
154.7 77.3
6.6 -69.6
dipole_pinc.py¶
In [64]:
!dipole_pinc.py -f data_files/dipole_pinc/dipole_pinc_example.dat
-41.7
dipole_plat.py¶
In [65]:
!dipole_plat.py -f data_files/dipole_plat/dipole_plat_example.dat
12.0
dir_cart.py¶
In [66]:
!dir_cart.py -f data_files/dir_cart/dir_cart_example.dat
8.4859e-01 3.0886e-01 9.3514e-01 -3.8223e+00 3.3441e-01 -1.7083e+00
dmag_magic.py¶
In [67]:
!dmag_magic.py -WD data_files/3_0/McMurdo -fsp specimens.txt -obj spc -sav -fmt "png" -LT T
25470 records read from measurements.txt 1 saved in mc01a_LT-T-Z.png 1 saved in mc01b_LT-T-Z.png 1 saved in mc01c_LT-T-Z.png 1 saved in mc01d_LT-T-Z.png 1 saved in mc01e_LT-T-Z.png 1 saved in mc01g_LT-T-Z.png 1 saved in mc01h_LT-T-Z.png 1 saved in mc02a_LT-T-Z.png 1 saved in mc02b_LT-T-Z.png 1 saved in mc02f_LT-T-Z.png 1 saved in mc02h_LT-T-Z.png 1 saved in mc03a_LT-T-Z.png 1 saved in mc03c_LT-T-Z.png 1 saved in mc03f_LT-T-Z.png 1 saved in mc03h_LT-T-Z.png 1 saved in mc04b_LT-T-Z.png 1 saved in mc04e_LT-T-Z.png 1 saved in mc04f_LT-T-Z.png 1 saved in mc04g_LT-T-Z.png 1 saved in mc06a_LT-T-Z.png 1 saved in mc06d_LT-T-Z.png 1 saved in mc06g_LT-T-Z.png 1 saved in mc06h_LT-T-Z.png 1 saved in mc07b_LT-T-Z.png 1 saved in mc07c_LT-T-Z.png 1 saved in mc07d_LT-T-Z.png 1 saved in mc07f_LT-T-Z.png 1 saved in mc08a_LT-T-Z.png 1 saved in mc08b_LT-T-Z.png 1 saved in mc08c_LT-T-Z.png 1 saved in mc08e_LT-T-Z.png 1 saved in mc08f_LT-T-Z.png 1 saved in mc08g_LT-T-Z.png 1 saved in mc08h_LT-T-Z.png 1 saved in mc09a_LT-T-Z.png 1 saved in mc09b_LT-T-Z.png 1 saved in mc09c_LT-T-Z.png 1 saved in mc09d_LT-T-Z.png 1 saved in mc09e_LT-T-Z.png 1 saved in mc09f_LT-T-Z.png 1 saved in mc09g_LT-T-Z.png 1 saved in mc100e2_LT-T-Z.png 1 saved in mc100f2_LT-T-Z.png 1 saved in mc100g2_LT-T-Z.png 1 saved in mc102a2_LT-T-Z.png 1 saved in mc102b1_LT-T-Z.png 1 saved in mc103a2_LT-T-Z.png 1 saved in mc103b1_LT-T-Z.png 1 saved in mc103c1_LT-T-Z.png 1 saved in mc103d1_LT-T-Z.png 1 saved in mc103e1_LT-T-Z.png 1 saved in mc104b1_LT-T-Z.png 1 saved in mc104c2_LT-T-Z.png 1 saved in mc105a2_LT-T-Z.png 1 saved in mc105c1_LT-T-Z.png 1 saved in mc105d1_LT-T-Z.png 1 saved in mc105j1_LT-T-Z.png 1 saved in mc107d2_LT-T-Z.png 1 saved in mc107e2_LT-T-Z.png 1 saved in mc108a2_LT-T-Z.png 1 saved in mc108c1_LT-T-Z.png 1 saved in mc108h1_LT-T-Z.png 1 saved in mc109a1_LT-T-Z.png 1 saved in mc109c1_LT-T-Z.png 1 saved in mc109d1_LT-T-Z.png 1 saved in mc109e1_LT-T-Z.png 1 saved in mc10a_LT-T-Z.png 1 saved in mc10b_LT-T-Z.png 1 saved in mc10c_LT-T-Z.png 1 saved in mc10d_LT-T-Z.png 1 saved in mc10f_LT-T-Z.png 1 saved in mc10g_LT-T-Z.png 1 saved in mc10h_LT-T-Z.png 1 saved in mc110a1_LT-T-Z.png 1 saved in mc110b1_LT-T-Z.png 1 saved in mc111d2_LT-T-Z.png 1 saved in mc111e2_LT-T-Z.png 1 saved in mc111l1_LT-T-Z.png 1 saved in mc112b2_LT-T-Z.png 1 saved in mc112c1_LT-T-Z.png 1 saved in mc113a2_LT-T-Z.png 1 saved in mc113j1_LT-T-Z.png 1 saved in mc113m1_LT-T-Z.png 1 saved in mc115a2_LT-T-Z.png 1 saved in mc115b1_LT-T-Z.png 1 saved in mc115e1_LT-T-Z.png 1 saved in mc115h1_LT-T-Z.png 1 saved in mc116b1_LT-T-Z.png 1 saved in mc116j2_LT-T-Z.png 1 saved in mc117a1_LT-T-Z.png 1 saved in mc117b1_LT-T-Z.png 1 saved in mc117d2_LT-T-Z.png 1 saved in mc117e2_LT-T-Z.png 1 saved in mc119a1_LT-T-Z.png 1 saved in mc119b1_LT-T-Z.png 1 saved in mc119d2_LT-T-Z.png 1 saved in mc119e2_LT-T-Z.png 1 saved in mc119f2_LT-T-Z.png 1 saved in mc11a_LT-T-Z.png 1 saved in mc11b_LT-T-Z.png 1 saved in mc11c_LT-T-Z.png 1 saved in mc11e_LT-T-Z.png 1 saved in mc11f_LT-T-Z.png 1 saved in mc11g_LT-T-Z.png 1 saved in mc11h_LT-T-Z.png 1 saved in mc120a1_LT-T-Z.png 1 saved in mc120b1_LT-T-Z.png 1 saved in mc120b2_LT-T-Z.png 1 saved in mc120c1_LT-T-Z.png 1 saved in mc120f1_LT-T-Z.png 1 saved in mc121c1_LT-T-Z.png 1 saved in mc121d1_LT-T-Z.png 1 saved in mc121e1_LT-T-Z.png 1 saved in mc121f2_LT-T-Z.png 1 saved in mc121g1_LT-T-Z.png 1 saved in mc121k1_LT-T-Z.png 1 saved in mc121k2_LT-T-Z.png 1 saved in mc122f1_LT-T-Z.png 1 saved in mc122g1_LT-T-Z.png 1 saved in mc122l1_LT-T-Z.png 1 saved in mc123a2_LT-T-Z.png 1 saved in mc123b1_LT-T-Z.png 1 saved in mc123b2_LT-T-Z.png 1 saved in mc123c3_LT-T-Z.png 1 saved in mc124a1_LT-T-Z.png 1 saved in mc124d2_LT-T-Z.png 1 saved in mc125d1_LT-T-Z.png 1 saved in mc125e1_LT-T-Z.png 1 saved in mc125i1_LT-T-Z.png 1 saved in mc126c2_LT-T-Z.png 1 saved in mc126f1_LT-T-Z.png 1 saved in mc126i1_LT-T-Z.png 1 saved in mc127a2_LT-T-Z.png 1 saved in mc127c1_LT-T-Z.png 1 saved in mc127d1_LT-T-Z.png 1 saved in mc128b2_LT-T-Z.png 1 saved in mc128c2_LT-T-Z.png 1 saved in mc128e1_LT-T-Z.png 1 saved in mc128j1_LT-T-Z.png 1 saved in mc129a2_LT-T-Z.png 1 saved in mc129b1_LT-T-Z.png 1 saved in mc129c1_LT-T-Z.png 1 saved in mc129c2_LT-T-Z.png 1 saved in mc129l1_LT-T-Z.png 1 saved in mc130a1_LT-T-Z.png 1 saved in mc130d1_LT-T-Z.png 1 saved in mc130h1_LT-T-Z.png 1 saved in mc130j2_LT-T-Z.png 1 saved in mc131b1_LT-T-Z.png 1 saved in mc131c2_LT-T-Z.png 1 saved in mc131d2_LT-T-Z.png 1 saved in mc131e1_LT-T-Z.png 1 saved in mc131g1_LT-T-Z.png 1 saved in mc132e2_LT-T-Z.png 1 saved in mc132f2_LT-T-Z.png 1 saved in mc132g2_LT-T-Z.png 1 saved in mc132h2_LT-T-Z.png 1 saved in mc132i2_LT-T-Z.png 1 saved in mc132j1_LT-T-Z.png 1 saved in mc132k1_LT-T-Z.png 1 saved in mc133f1_LT-T-Z.png 1 saved in mc133g1_LT-T-Z.png 1 saved in mc133l1_LT-T-Z.png 1 saved in mc134c2_LT-T-Z.png 1 saved in mc134f1_LT-T-Z.png 1 saved in mc135a1_LT-T-Z.png 1 saved in mc135c2_LT-T-Z.png 1 saved in mc135e1_LT-T-Z.png 1 saved in mc136a2_LT-T-Z.png 1 saved in mc136h2_LT-T-Z.png 1 saved in mc136i2_LT-T-Z.png 1 saved in mc139a1_LT-T-Z.png 1 saved in mc139c1_LT-T-Z.png 1 saved in mc13a_LT-T-Z.png 1 saved in mc13b_LT-T-Z.png 1 saved in mc13c_LT-T-Z.png 1 saved in mc13d_LT-T-Z.png 1 saved in mc13e_LT-T-Z.png 1 saved in mc13f_LT-T-Z.png 1 saved in mc13h_LT-T-Z.png 1 saved in mc140a1_LT-T-Z.png 1 saved in mc140b1_LT-T-Z.png 1 saved in mc140c1_LT-T-Z.png 1 saved in mc140d1_LT-T-Z.png 1 saved in mc141b1_LT-T-Z.png 1 saved in mc141c1_LT-T-Z.png 1 saved in mc142c1_LT-T-Z.png 1 saved in mc142d1_LT-T-Z.png 1 saved in mc142e2_LT-T-Z.png 1 saved in mc142f2_LT-T-Z.png 1 saved in mc142k2_LT-T-Z.png 1 saved in mc144e1_LT-T-Z.png 1 saved in mc144f1_LT-T-Z.png 1 saved in mc144h1_LT-T-Z.png 1 saved in mc144j2_LT-T-Z.png 1 saved in mc144k1_LT-T-Z.png 1 saved in mc145c2_LT-T-Z.png 1 saved in mc145f1_LT-T-Z.png 1 saved in mc145k2_LT-T-Z.png 1 saved in mc145l1_LT-T-Z.png 1 saved in mc146e1_LT-T-Z.png 1 saved in mc146f1_LT-T-Z.png 1 saved in mc146i2_LT-T-Z.png 1 saved in mc146j2_LT-T-Z.png 1 saved in mc147a1_LT-T-Z.png 1 saved in mc147i1_LT-T-Z.png 1 saved in mc147j2_LT-T-Z.png 1 saved in mc147k2_LT-T-Z.png 1 saved in mc148d1_LT-T-Z.png 1 saved in mc148i1_LT-T-Z.png 1 saved in mc148j1_LT-T-Z.png 1 saved in mc149b1_LT-T-Z.png 1 saved in mc149d1_LT-T-Z.png 1 saved in mc149e1_LT-T-Z.png 1 saved in mc149g1_LT-T-Z.png 1 saved in mc14a_LT-T-Z.png 1 saved in mc14b_LT-T-Z.png 1 saved in mc14c_LT-T-Z.png 1 saved in mc14d_LT-T-Z.png 1 saved in mc14e_LT-T-Z.png 1 saved in mc14g_LT-T-Z.png 1 saved in mc14h_LT-T-Z.png 1 saved in mc152b2_LT-T-Z.png 1 saved in mc152e1_LT-T-Z.png 1 saved in mc152g1_LT-T-Z.png 1 saved in mc153a1_LT-T-Z.png 1 saved in mc153c1_LT-T-Z.png 1 saved in mc154a2_LT-T-Z.png 1 saved in mc154j2_LT-T-Z.png 1 saved in mc155c1_LT-T-Z.png 1 saved in mc155h1_LT-T-Z.png 1 saved in mc155m1_LT-T-Z.png 1 saved in mc156b1_LT-T-Z.png 1 saved in mc156c2_LT-T-Z.png 1 saved in mc156i1_LT-T-Z.png 1 saved in mc157a1_LT-T-Z.png 1 saved in mc157b1_LT-T-Z.png 1 saved in mc157c2_LT-T-Z.png 1 saved in mc157e2_LT-T-Z.png 1 saved in mc158a1_LT-T-Z.png 1 saved in mc158b1_LT-T-Z.png 1 saved in mc15a_LT-T-Z.png 1 saved in mc15b_LT-T-Z.png 1 saved in mc15c_LT-T-Z.png 1 saved in mc15c2_LT-T-Z.png 1 saved in mc15d_LT-T-Z.png 1 saved in mc15e_LT-T-Z.png 1 saved in mc15f_LT-T-Z.png 1 saved in mc15h_LT-T-Z.png 1 saved in mc160a1_LT-T-Z.png 1 saved in mc160e1_LT-T-Z.png 1 saved in mc160f2_LT-T-Z.png 1 saved in mc160h2_LT-T-Z.png 1 saved in mc160j2_LT-T-Z.png 1 saved in mc161b1_LT-T-Z.png 1 saved in mc161g1_LT-T-Z.png 1 saved in mc162b1_LT-T-Z.png 1 saved in mc162c1_LT-T-Z.png 1 saved in mc163d1_LT-T-Z.png 1 saved in mc163h1_LT-T-Z.png 1 saved in mc164a1_LT-T-Z.png 1 saved in mc164b1_LT-T-Z.png 1 saved in mc164c1_LT-T-Z.png 1 saved in mc164f1_LT-T-Z.png 1 saved in mc164g2_LT-T-Z.png 1 saved in mc164h1_LT-T-Z.png 1 saved in mc164i1_LT-T-Z.png 1 saved in mc164j1_LT-T-Z.png 1 saved in mc164l2_LT-T-Z.png 1 saved in mc165b1_LT-T-Z.png 1 saved in mc165c1_LT-T-Z.png 1 saved in mc165h2_LT-T-Z.png 1 saved in mc165i2_LT-T-Z.png 1 saved in mc166b1_LT-T-Z.png 1 saved in mc166c1_LT-T-Z.png 1 saved in mc166h2_LT-T-Z.png 1 saved in mc166i2_LT-T-Z.png 1 saved in mc167b1_LT-T-Z.png 1 saved in mc167d2_LT-T-Z.png 1 saved in mc167e2_LT-T-Z.png 1 saved in mc167k1_LT-T-Z.png 1 saved in mc168a1_LT-T-Z.png 1 saved in mc168c2_LT-T-Z.png 1 saved in mc168d1_LT-T-Z.png 1 saved in mc168f1_LT-T-Z.png 1 saved in mc168h2_LT-T-Z.png 1 saved in mc19a_LT-T-Z.png 1 saved in mc19b_LT-T-Z.png 1 saved in mc19d_LT-T-Z.png 1 saved in mc19e_LT-T-Z.png 1 saved in mc19f_LT-T-Z.png 1 saved in mc19g_LT-T-Z.png 1 saved in mc200b1_LT-T-Z.png 1 saved in mc200c1_LT-T-Z.png 1 saved in mc200d1_LT-T-Z.png 1 saved in mc200h1_LT-T-Z.png 1 saved in mc200i1_LT-T-Z.png 1 saved in mc201b1_LT-T-Z.png 1 saved in mc202b1_LT-T-Z.png 1 saved in mc203b1_LT-T-Z.png 1 saved in mc204b1_LT-T-Z.png 1 saved in mc205a2_LT-T-Z.png 1 saved in mc205b1_LT-T-Z.png 1 saved in mc205h1_LT-T-Z.png 1 saved in mc205i2_LT-T-Z.png 1 saved in mc205k1_LT-T-Z.png 1 saved in mc206b1_LT-T-Z.png 1 saved in mc206c1_LT-T-Z.png 1 saved in mc206d1_LT-T-Z.png 1 saved in mc206e1_LT-T-Z.png 1 saved in mc206f1_LT-T-Z.png 1 saved in mc207b1_LT-T-Z.png 1 saved in mc208b1_LT-T-Z.png 1 saved in mc209b1_LT-T-Z.png 1 saved in mc20a_LT-T-Z.png 1 saved in mc20c_LT-T-Z.png 1 saved in mc20d_LT-T-Z.png 1 saved in mc20e_LT-T-Z.png 1 saved in mc20h_LT-T-Z.png 1 saved in mc210b1_LT-T-Z.png 1 saved in mc211b1_LT-T-Z.png 1 saved in mc211e1_LT-T-Z.png 1 saved in mc211g1_LT-T-Z.png 1 saved in mc211h1_LT-T-Z.png 1 saved in mc211i1_LT-T-Z.png 1 saved in mc212b1_LT-T-Z.png 1 saved in mc213b1_LT-T-Z.png 1 saved in mc214b1_LT-T-Z.png 1 saved in mc214d1_LT-T-Z.png 1 saved in mc214g1_LT-T-Z.png 1 saved in mc214h1_LT-T-Z.png 1 saved in mc214j1_LT-T-Z.png 1 saved in mc215a1_LT-T-Z.png 1 saved in mc215b1_LT-T-Z.png 1 saved in mc215c1_LT-T-Z.png 1 saved in mc215d1_LT-T-Z.png 1 saved in mc215h1_LT-T-Z.png 1 saved in mc216a1_LT-T-Z.png 1 saved in mc216b1_LT-T-Z.png 1 saved in mc216c1_LT-T-Z.png 1 saved in mc216f1_LT-T-Z.png 1 saved in mc216g1_LT-T-Z.png 1 saved in mc217a1_LT-T-Z.png 1 saved in mc217b1_LT-T-Z.png 1 saved in mc217c1_LT-T-Z.png 1 saved in mc217d1_LT-T-Z.png 1 saved in mc217e1_LT-T-Z.png 1 saved in mc218a1_LT-T-Z.png 1 saved in mc218b1_LT-T-Z.png 1 saved in mc218d1_LT-T-Z.png 1 saved in mc218i1_LT-T-Z.png 1 saved in mc218j1_LT-T-Z.png 1 saved in mc219a1_LT-T-Z.png 1 saved in mc219b1_LT-T-Z.png 1 saved in mc219c1_LT-T-Z.png 1 saved in mc219d1_LT-T-Z.png 1 saved in mc219e1_LT-T-Z.png 1 saved in mc21a_LT-T-Z.png 1 saved in mc21b_LT-T-Z.png 1 saved in mc21c_LT-T-Z.png 1 saved in mc21e_LT-T-Z.png 1 saved in mc21f_LT-T-Z.png 1 saved in mc21g_LT-T-Z.png 1 saved in mc21h_LT-T-Z.png 1 saved in mc220a1_LT-T-Z.png 1 saved in mc220b1_LT-T-Z.png 1 saved in mc220c1_LT-T-Z.png 1 saved in mc220d1_LT-T-Z.png 1 saved in mc220e1_LT-T-Z.png 1 saved in mc221b1_LT-T-Z.png 1 saved in mc222b1_LT-T-Z.png 1 saved in mc223a1_LT-T-Z.png 1 saved in mc223b1_LT-T-Z.png 1 saved in mc223c2_LT-T-Z.png 1 saved in mc223g1_LT-T-Z.png 1 saved in mc223l1_LT-T-Z.png 1 saved in mc224b1_LT-T-Z.png 1 saved in mc225a1_LT-T-Z.png 1 saved in mc225b1_LT-T-Z.png 1 saved in mc225c1_LT-T-Z.png 1 saved in mc225d1_LT-T-Z.png 1 saved in mc225i1_LT-T-Z.png 1 saved in mc226b1_LT-T-Z.png 1 saved in mc227b1_LT-T-Z.png 1 saved in mc228a1_LT-T-Z.png 1 saved in mc228b1_LT-T-Z.png 1 saved in mc228d1_LT-T-Z.png 1 saved in mc228e1_LT-T-Z.png 1 saved in mc228g1_LT-T-Z.png 1 saved in mc229b1_LT-T-Z.png 1 saved in mc229g1_LT-T-Z.png 1 saved in mc229h1_LT-T-Z.png 1 saved in mc229i1_LT-T-Z.png 1 saved in mc229k1_LT-T-Z.png 1 saved in mc26a_LT-T-Z.png 1 saved in mc26b_LT-T-Z.png 1 saved in mc26c_LT-T-Z.png 1 saved in mc26d_LT-T-Z.png 1 saved in mc26e_LT-T-Z.png 1 saved in mc26f_LT-T-Z.png 1 saved in mc26g_LT-T-Z.png 1 saved in mc28a_LT-T-Z.png 1 saved in mc28b_LT-T-Z.png 1 saved in mc28c_LT-T-Z.png 1 saved in mc28e_LT-T-Z.png 1 saved in mc28f_LT-T-Z.png 1 saved in mc28g_LT-T-Z.png 1 saved in mc28h_LT-T-Z.png 1 saved in mc29b_LT-T-Z.png 1 saved in mc29c_LT-T-Z.png 1 saved in mc29d_LT-T-Z.png 1 saved in mc29e_LT-T-Z.png 1 saved in mc29g_LT-T-Z.png 1 saved in mc29h_LT-T-Z.png 1 saved in mc30a_LT-T-Z.png 1 saved in mc30b_LT-T-Z.png 1 saved in mc30d_LT-T-Z.png 1 saved in mc30e_LT-T-Z.png 1 saved in mc30f_LT-T-Z.png 1 saved in mc30g_LT-T-Z.png 1 saved in mc30h_LT-T-Z.png 1 saved in mc31b_LT-T-Z.png 1 saved in mc31c_LT-T-Z.png 1 saved in mc31d_LT-T-Z.png 1 saved in mc31h_LT-T-Z.png 1 saved in mc32a_LT-T-Z.png 1 saved in mc32b_LT-T-Z.png 1 saved in mc32d_LT-T-Z.png 1 saved in mc32e_LT-T-Z.png 1 saved in mc32g_LT-T-Z.png 1 saved in mc32h_LT-T-Z.png 1 saved in mc33a_LT-T-Z.png 1 saved in mc33b_LT-T-Z.png 1 saved in mc33c_LT-T-Z.png 1 saved in mc33e_LT-T-Z.png 1 saved in mc33f_LT-T-Z.png 1 saved in mc33g_LT-T-Z.png 1 saved in mc33h_LT-T-Z.png 1 saved in mc34a_LT-T-Z.png 1 saved in mc34b_LT-T-Z.png 1 saved in mc34c_LT-T-Z.png 1 saved in mc34e_LT-T-Z.png 1 saved in mc34f_LT-T-Z.png 1 saved in mc34h_LT-T-Z.png 1 saved in mc35a_LT-T-Z.png 1 saved in mc35b_LT-T-Z.png 1 saved in mc35c_LT-T-Z.png 1 saved in mc35d_LT-T-Z.png 1 saved in mc35e_LT-T-Z.png 1 saved in mc35g_LT-T-Z.png 1 saved in mc35h_LT-T-Z.png 1 saved in mc36a_LT-T-Z.png 1 saved in mc36b_LT-T-Z.png 1 saved in mc36c_LT-T-Z.png 1 saved in mc36d_LT-T-Z.png 1 saved in mc36e_LT-T-Z.png 1 saved in mc36f_LT-T-Z.png 1 saved in mc36h_LT-T-Z.png 1 saved in mc37a_LT-T-Z.png 1 saved in mc37b_LT-T-Z.png 1 saved in mc37c_LT-T-Z.png 1 saved in mc37d_LT-T-Z.png 1 saved in mc37e_LT-T-Z.png 1 saved in mc37g_LT-T-Z.png 1 saved in mc37h_LT-T-Z.png 1 saved in mc38a_LT-T-Z.png 1 saved in mc38c_LT-T-Z.png 1 saved in mc38e_LT-T-Z.png 1 saved in mc38f_LT-T-Z.png 1 saved in mc38g_LT-T-Z.png 1 saved in mc38h_LT-T-Z.png 1 saved in mc39a_LT-T-Z.png 1 saved in mc39b_LT-T-Z.png 1 saved in mc39c_LT-T-Z.png 1 saved in mc39d_LT-T-Z.png 1 saved in mc39e_LT-T-Z.png 1 saved in mc39f_LT-T-Z.png 1 saved in mc39h_LT-T-Z.png 1 saved in mc40a_LT-T-Z.png 1 saved in mc40b_LT-T-Z.png 1 saved in mc40e_LT-T-Z.png 1 saved in mc40f_LT-T-Z.png 1 saved in mc40g_LT-T-Z.png 1 saved in mc40h_LT-T-Z.png 1 saved in mc41b_LT-T-Z.png 1 saved in mc41d_LT-T-Z.png 1 saved in mc41e_LT-T-Z.png 1 saved in mc41h_LT-T-Z.png 1 saved in mc42b_LT-T-Z.png 1 saved in mc42c_LT-T-Z.png 1 saved in mc42d_LT-T-Z.png 1 saved in mc42h_LT-T-Z.png 1 saved in mc43b_LT-T-Z.png 1 saved in mc43e_LT-T-Z.png 1 saved in mc43f_LT-T-Z.png 1 saved in mc43g_LT-T-Z.png 1 saved in mc44a_LT-T-Z.png 1 saved in mc44b_LT-T-Z.png 1 saved in mc44c_LT-T-Z.png 1 saved in mc44e_LT-T-Z.png 1 saved in mc44f_LT-T-Z.png 1 saved in mc44g_LT-T-Z.png 1 saved in mc44h_LT-T-Z.png 1 saved in mc48a_LT-T-Z.png 1 saved in mc48b_LT-T-Z.png 1 saved in mc48d_LT-T-Z.png 1 saved in mc48e_LT-T-Z.png 1 saved in mc48f_LT-T-Z.png 1 saved in mc48g_LT-T-Z.png 1 saved in mc48h_LT-T-Z.png 1 saved in mc49b_LT-T-Z.png 1 saved in mc49e_LT-T-Z.png 1 saved in mc49g_LT-T-Z.png 1 saved in mc49h_LT-T-Z.png 1 saved in mc50a_LT-T-Z.png 1 saved in mc50b_LT-T-Z.png 1 saved in mc50c_LT-T-Z.png 1 saved in mc50e_LT-T-Z.png 1 saved in mc50f_LT-T-Z.png 1 saved in mc50g_LT-T-Z.png 1 saved in mc50h_LT-T-Z.png
In [68]:
Image(filename="mc01a_LT-T-Z.png")
Out[68]:
In [69]:
Image("mc141c1_LT-T-Z.png")
Out[69]:
In [70]:
!dmag_magic.py -WD data_files/3_0/McMurdo -fsp specimens.txt \
-fsa samples.txt -obj sit -sav -fmt "png" -LT T
25470 records read from measurements.txt 1 saved in mc01_LT-T-Z.png 1 saved in mc02_LT-T-Z.png 1 saved in mc03_LT-T-Z.png 1 saved in mc04_LT-T-Z.png 1 saved in mc06_LT-T-Z.png 1 saved in mc07_LT-T-Z.png 1 saved in mc08_LT-T-Z.png 1 saved in mc09_LT-T-Z.png 1 saved in mc10_LT-T-Z.png 1 saved in mc100_LT-T-Z.png 1 saved in mc102_LT-T-Z.png 1 saved in mc103_LT-T-Z.png 1 saved in mc104_LT-T-Z.png 1 saved in mc105_LT-T-Z.png 1 saved in mc107_LT-T-Z.png 1 saved in mc108_LT-T-Z.png 1 saved in mc109_LT-T-Z.png 1 saved in mc11_LT-T-Z.png 1 saved in mc110_LT-T-Z.png 1 saved in mc111_LT-T-Z.png 1 saved in mc112_LT-T-Z.png 1 saved in mc113_LT-T-Z.png 1 saved in mc115_LT-T-Z.png 1 saved in mc116_LT-T-Z.png 1 saved in mc117_LT-T-Z.png 1 saved in mc119_LT-T-Z.png 1 saved in mc120_LT-T-Z.png 1 saved in mc121_LT-T-Z.png 1 saved in mc122_LT-T-Z.png 1 saved in mc123_LT-T-Z.png 1 saved in mc124_LT-T-Z.png 1 saved in mc125_LT-T-Z.png 1 saved in mc126_LT-T-Z.png 1 saved in mc127_LT-T-Z.png 1 saved in mc128_LT-T-Z.png 1 saved in mc129_LT-T-Z.png 1 saved in mc13_LT-T-Z.png 1 saved in mc130_LT-T-Z.png 1 saved in mc131_LT-T-Z.png 1 saved in mc132_LT-T-Z.png 1 saved in mc133_LT-T-Z.png 1 saved in mc134_LT-T-Z.png 1 saved in mc135_LT-T-Z.png 1 saved in mc136_LT-T-Z.png 1 saved in mc139_LT-T-Z.png 1 saved in mc14_LT-T-Z.png 1 saved in mc140_LT-T-Z.png 1 saved in mc141_LT-T-Z.png 1 saved in mc142_LT-T-Z.png 1 saved in mc144_LT-T-Z.png 1 saved in mc145_LT-T-Z.png 1 saved in mc146_LT-T-Z.png 1 saved in mc147_LT-T-Z.png 1 saved in mc148_LT-T-Z.png 1 saved in mc149_LT-T-Z.png 1 saved in mc15_LT-T-Z.png 1 saved in mc152_LT-T-Z.png 1 saved in mc153_LT-T-Z.png 1 saved in mc154_LT-T-Z.png 1 saved in mc155_LT-T-Z.png 1 saved in mc156_LT-T-Z.png 1 saved in mc157_LT-T-Z.png 1 saved in mc158_LT-T-Z.png 1 saved in mc160_LT-T-Z.png 1 saved in mc161_LT-T-Z.png 1 saved in mc162_LT-T-Z.png 1 saved in mc163_LT-T-Z.png 1 saved in mc164_LT-T-Z.png 1 saved in mc165_LT-T-Z.png 1 saved in mc166_LT-T-Z.png 1 saved in mc167_LT-T-Z.png 1 saved in mc168_LT-T-Z.png 1 saved in mc19_LT-T-Z.png 1 saved in mc20_LT-T-Z.png 1 saved in mc200_LT-T-Z.png 1 saved in mc201_LT-T-Z.png 1 saved in mc202_LT-T-Z.png 1 saved in mc203_LT-T-Z.png 1 saved in mc204_LT-T-Z.png 1 saved in mc205_LT-T-Z.png 1 saved in mc206_LT-T-Z.png 1 saved in mc207_LT-T-Z.png 1 saved in mc208_LT-T-Z.png 1 saved in mc209_LT-T-Z.png 1 saved in mc21_LT-T-Z.png 1 saved in mc210_LT-T-Z.png 1 saved in mc211_LT-T-Z.png 1 saved in mc212_LT-T-Z.png 1 saved in mc213_LT-T-Z.png 1 saved in mc214_LT-T-Z.png 1 saved in mc215_LT-T-Z.png 1 saved in mc216_LT-T-Z.png 1 saved in mc217_LT-T-Z.png 1 saved in mc218_LT-T-Z.png 1 saved in mc219_LT-T-Z.png 1 saved in mc220_LT-T-Z.png 1 saved in mc221_LT-T-Z.png 1 saved in mc222_LT-T-Z.png 1 saved in mc223_LT-T-Z.png 1 saved in mc224_LT-T-Z.png 1 saved in mc225_LT-T-Z.png 1 saved in mc226_LT-T-Z.png 1 saved in mc227_LT-T-Z.png 1 saved in mc228_LT-T-Z.png 1 saved in mc229_LT-T-Z.png 1 saved in mc26_LT-T-Z.png 1 saved in mc28_LT-T-Z.png 1 saved in mc29_LT-T-Z.png 1 saved in mc30_LT-T-Z.png 1 saved in mc31_LT-T-Z.png 1 saved in mc32_LT-T-Z.png 1 saved in mc33_LT-T-Z.png 1 saved in mc34_LT-T-Z.png 1 saved in mc35_LT-T-Z.png 1 saved in mc36_LT-T-Z.png 1 saved in mc37_LT-T-Z.png 1 saved in mc38_LT-T-Z.png 1 saved in mc39_LT-T-Z.png 1 saved in mc40_LT-T-Z.png 1 saved in mc41_LT-T-Z.png 1 saved in mc42_LT-T-Z.png 1 saved in mc43_LT-T-Z.png 1 saved in mc44_LT-T-Z.png 1 saved in mc48_LT-T-Z.png 1 saved in mc49_LT-T-Z.png 1 saved in mc50_LT-T-Z.png
In [71]:
Image(filename="mc01_LT-T-Z.png")
Out[71]:
dmag_magic2.py¶
In [72]:
!dmag_magic2.py -f data_files/dmag_magic/dmag_magic_example.dat -LT AF -fmt png -sav
5921 records read from data_files/dmag_magic/dmag_magic_example.dat 1 saved in McMurdo_LT-AF-Z.png
In [73]:
Image(filename='McMurdo_LT-AF-Z.png')
Out[73]:
download_magic.py¶
In [248]:
!download_magic.py -WD data_files/download_magic -f data_files/download_magic/magic_contribution_16503.txt
working on: 'contribution' 1 records written to file data_files/download_magic/contribution.txt contribution data put in data_files/download_magic/contribution.txt working on: 'locations' 3 records written to file data_files/download_magic/locations.txt locations data put in data_files/download_magic/locations.txt working on: 'sites' 52 records written to file data_files/download_magic/sites.txt sites data put in data_files/download_magic/sites.txt working on: 'samples' 437 records written to file data_files/download_magic/samples.txt samples data put in data_files/download_magic/samples.txt working on: 'specimens' 226 records written to file data_files/download_magic/specimens.txt specimens data put in data_files/download_magic/specimens.txt working on: 'measurements' 3072 records written to file data_files/download_magic/measurements.txt measurements data put in data_files/download_magic/measurements.txt working on: 'criteria' 20 records written to file data_files/download_magic/criteria.txt criteria data put in data_files/download_magic/criteria.txt working on: 'ages' 20 records written to file data_files/download_magic/ages.txt ages data put in data_files/download_magic/ages.txt
eigs_s.py¶
In [75]:
!eigs_s.py -f data_files/eigs_s/eigs_s_example.dat
0.33416328 0.33280227 0.33303446 -0.00016631 0.00123163 0.00135521 0.33555713 0.33197427 0.33246869 0.00085685 0.00025266 0.00098151 0.33585301 0.33140355 0.33274350 0.00132308 0.00117787 0.00000455 0.33479390 0.33140817 0.33379796 -0.00043088 0.00048858 0.00045610 0.33502916 0.33117944 0.33379149 -0.00106313 0.00029828 0.00035883 0.33407047 0.33226910 0.33366045 -0.00000638 0.00098445 0.00005996 0.33486328 0.33215088 0.33298591 -0.00034279 0.00038178 0.00020145 0.33509853 0.33195898 0.33294258 0.00076976 0.00056717 0.00011960
eq_di.py¶
In [76]:
!eq_di.py -f data_files/eq_di/eq_di_example.dat > data_files/eq_di/eq_di.out
!eqarea.py -f data_files/eq_di/eq_di.out -fmt png -sav
1 saved in eq_di_eq.png
In [77]:
Image(filename='eq_di_eq.png')
Out[77]:
eqarea.py¶
In [78]:
!eqarea.py -f data_files/eqarea/fishrot.out -fmt png -sav
1 saved in fishrot_eq.png
In [79]:
Image(filename='fishrot_eq.png')
Out[79]:
eqarea_ell.py¶
In [80]:
!eqarea_ell.py -f data_files/eqarea_ell/tk03.out -ell B -fmt png -sav
dec 357.8
inc 60.3
Edec 105.7
Einc 10.0
Zdec 21.0
Zinc -27.6
n 20
Zeta 4.5
Eta 4.5
1 saved in data_files-eqarea_ell-tk03.out_eq.png
In [81]:
Image(filename='data_files-eqarea_ell-tk03.out_eq.png')
Out[81]:
eqarea_magic.py¶
In [82]:
!eqarea_magic.py -WD data_files/3_0/McMurdo -f sites.txt -sav -fmt "png"
1 saved in all_McMurdo_g_eqarea.png
In [83]:
Image(filename="all_McMurdo_g_eqarea.png")
Out[83]:
In [84]:
!download_magic.py -WD data_files/nrm_specimens_magic \
-f data_files/nrm_specimens_magic/magic_contribution_15143.txt -DM 3
working on: 'contribution' 1 records written to file data_files/nrm_specimens_magic/contribution.txt contribution data put in data_files/nrm_specimens_magic/contribution.txt working on: 'locations' 3 records written to file data_files/nrm_specimens_magic/locations.txt locations data put in data_files/nrm_specimens_magic/locations.txt working on: 'sites' 52 records written to file data_files/nrm_specimens_magic/sites.txt sites data put in data_files/nrm_specimens_magic/sites.txt working on: 'samples' 437 records written to file data_files/nrm_specimens_magic/samples.txt samples data put in data_files/nrm_specimens_magic/samples.txt working on: 'specimens' 226 records written to file data_files/nrm_specimens_magic/specimens.txt specimens data put in data_files/nrm_specimens_magic/specimens.txt working on: 'measurements' 3072 records written to file data_files/nrm_specimens_magic/measurements.txt measurements data put in data_files/nrm_specimens_magic/measurements.txt working on: 'criteria' 20 records written to file data_files/nrm_specimens_magic/criteria.txt criteria data put in data_files/nrm_specimens_magic/criteria.txt working on: 'ages' 20 records written to file data_files/nrm_specimens_magic/ages.txt ages data put in data_files/nrm_specimens_magic/ages.txt
In [85]:
# plot by specimen
!eqarea_magic.py -f data_files/nrm_specimens_magic/nrm_specimens.txt -crd g -fmt png -sav -obj spc
Image('Snake_River_sr42_sr42b_sr42b1_g_eqarea.png')
1 saved in Snake_River_sr01_sr01e_sr01e2_g_eqarea.png 1 saved in Snake_River_sr01_sr01g_sr01g2_g_eqarea.png 1 saved in Snake_River_sr03_sr03f_sr03f1_g_eqarea.png 1 saved in Snake_River_sr03_sr03h_sr03h2_g_eqarea.png 1 saved in Snake_River_sr03_sr03k_sr03k1_g_eqarea.png 1 saved in Snake_River_sr04_sr04e_sr04e1_g_eqarea.png 1 saved in Snake_River_sr04_sr04f_sr04f2_g_eqarea.png 1 saved in Snake_River_sr09_sr09b_sr09b2_g_eqarea.png 1 saved in Snake_River_sr09_sr09e_sr09e2_g_eqarea.png 1 saved in Snake_River_sr09_sr09f_sr09f2_g_eqarea.png 1 saved in Snake_River_sr11_sr11a_sr11a1_g_eqarea.png 1 saved in Snake_River_sr11_sr11b_sr11b1_g_eqarea.png 1 saved in Snake_River_sr11_sr11c_sr11c1_g_eqarea.png 1 saved in Snake_River_sr11_sr11e_sr11e2_g_eqarea.png 1 saved in Snake_River_sr11_sr11g_sr11g2_g_eqarea.png 1 saved in Snake_River_sr11_sr11i_sr11i1_g_eqarea.png 1 saved in Snake_River_sr11_sr11j_sr11j3_g_eqarea.png 1 saved in Snake_River_sr12_sr12c_sr12c1_g_eqarea.png 1 saved in Snake_River_sr12_sr12h_sr12h1_g_eqarea.png 1 saved in Snake_River_sr16_sr16e_sr16e1_g_eqarea.png 1 saved in Snake_River_sr16_sr16g_sr16g2_g_eqarea.png 1 saved in Snake_River_sr19_sr19a_sr19a3_g_eqarea.png 1 saved in Snake_River_sr19_sr19b_sr19b3_g_eqarea.png 1 saved in Snake_River_sr19_sr19h_sr19h2_g_eqarea.png 1 saved in Snake_River_sr20_sr20d_sr20d2_g_eqarea.png 1 saved in Snake_River_sr20_sr20e_sr20e1_g_eqarea.png 1 saved in Snake_River_sr20_sr20i_sr20i1_g_eqarea.png 1 saved in Snake_River_sr21_sr21d_sr21d1_g_eqarea.png 1 saved in Snake_River_sr22_sr22b_sr22b2_g_eqarea.png 1 saved in Snake_River_sr22_sr22d_sr22d3_g_eqarea.png 1 saved in Snake_River_sr22_sr22e_sr22e1_g_eqarea.png 1 saved in Snake_River_sr22_sr22f_sr22f1_g_eqarea.png 1 saved in Snake_River_sr23_sr23a_sr23a1_g_eqarea.png 1 saved in Snake_River_sr23_sr23b_sr23b2_g_eqarea.png 1 saved in Snake_River_sr23_sr23d_sr23d3_g_eqarea.png 1 saved in Snake_River_sr23_sr23g_sr23g1_g_eqarea.png 1 saved in Snake_River_sr24_sr24a_sr24a1_g_eqarea.png 1 saved in Snake_River_sr24_sr24b_sr24b3_g_eqarea.png 1 saved in Snake_River_sr24_sr24c_sr24c2_g_eqarea.png 1 saved in Snake_River_sr24_sr24d_sr24d1_g_eqarea.png 1 saved in Snake_River_sr24_sr24j_sr24j2_g_eqarea.png 1 saved in Snake_River_sr25_sr25b_sr25b2_g_eqarea.png 1 saved in Snake_River_sr25_sr25d_sr25d2_g_eqarea.png 1 saved in Snake_River_sr25_sr25e_sr25e2_g_eqarea.png 1 saved in Snake_River_sr25_sr25f_sr25f3_g_eqarea.png 1 saved in Snake_River_sr25_sr25h_sr25h1_g_eqarea.png 1 saved in Snake_River_sr26_sr26a_sr26a3_g_eqarea.png 1 saved in Snake_River_sr26_sr26c_sr26c3_g_eqarea.png 1 saved in Snake_River_sr26_sr26e_sr26e3_g_eqarea.png 1 saved in Snake_River_sr26_sr26f_sr26f1_g_eqarea.png 1 saved in Snake_River_sr26_sr26i_sr26i1_g_eqarea.png 1 saved in Snake_River_sr27_sr27a_sr27a2_g_eqarea.png 1 saved in Snake_River_sr27_sr27c_sr27c1_g_eqarea.png 1 saved in Snake_River_sr27_sr27e_sr27e2_g_eqarea.png 1 saved in Snake_River_sr28_sr28a_sr28a1_g_eqarea.png 1 saved in Snake_River_sr28_sr28g_sr28g2_g_eqarea.png 1 saved in Snake_River_sr29_sr29g_sr29g2_g_eqarea.png 1 saved in Snake_River_sr30_sr30b_sr30b2_g_eqarea.png 1 saved in Snake_River_sr31_sr31h_sr31h2_g_eqarea.png 1 saved in Snake_River_sr34_sr34f_sr34f2_g_eqarea.png 1 saved in Snake_River_sr34_sr34i_sr34i3_g_eqarea.png 1 saved in Snake_River_sr36_sr36a_sr36a2_g_eqarea.png 1 saved in Snake_River_sr36_sr36b_sr36b1_g_eqarea.png 1 saved in Snake_River_sr36_sr36c_sr36c1_g_eqarea.png 1 saved in Snake_River_sr36_sr36d_sr36d1_g_eqarea.png 1 saved in Snake_River_sr36_sr36e_sr36e1_g_eqarea.png 1 saved in Snake_River_sr36_sr36i_sr36i2_g_eqarea.png 1 saved in Snake_River_sr37_sr37g_sr37g2_g_eqarea.png 1 saved in Snake_River_sr37_sr37j_sr37j2_g_eqarea.png 1 saved in Snake_River_sr39_sr39g_sr39g3_g_eqarea.png 1 saved in Snake_River_sr39_sr39h_sr39h3_g_eqarea.png 1 saved in Snake_River_sr40_sr40f_sr40f3_g_eqarea.png 1 saved in Snake_River_sr42_sr42c_sr42c3_g_eqarea.png 1 saved in Snake_River_sr42_sr42f_sr42f2_g_eqarea.png 1 saved in Snake_River_sr42_sr42h_sr42h2_g_eqarea.png 1 saved in Snake_River_sr42_sr42j_sr42j2_g_eqarea.png 1 saved in Snake_River_sr01_sr01a_sr01a1_g_eqarea.png 1 saved in Snake_River_sr01_sr01a_sr01a2_g_eqarea.png 1 saved in Snake_River_sr01_sr01c_sr01c2_g_eqarea.png 1 saved in Snake_River_sr01_sr01d_sr01d1_g_eqarea.png 1 saved in Snake_River_sr01_sr01i_sr01i1_g_eqarea.png 1 saved in Snake_River_sr03_sr03a_sr03a1_g_eqarea.png 1 saved in Snake_River_sr03_sr03b_sr03b1_g_eqarea.png 1 saved in Snake_River_sr03_sr03c_sr03c1_g_eqarea.png 1 saved in Snake_River_sr03_sr03e_sr03e1_g_eqarea.png 1 saved in Snake_River_sr09_sr09f_sr09f1_g_eqarea.png 1 saved in Snake_River_sr21_sr21h_sr21h1_g_eqarea.png 1 saved in Snake_River_sr28_sr28b_sr28b1_g_eqarea.png 1 saved in Snake_River_sr28_sr28c_sr28c1_g_eqarea.png 1 saved in Snake_River_sr28_sr28e_sr28e1_g_eqarea.png 1 saved in Snake_River_sr28_sr28f_sr28f1_g_eqarea.png 1 saved in Snake_River_sr28_sr28h_sr28h1_g_eqarea.png 1 saved in Snake_River_sr29_sr29a_sr29a1_g_eqarea.png 1 saved in Snake_River_sr29_sr29a_sr29a2_g_eqarea.png 1 saved in Snake_River_sr29_sr29b_sr29b1_g_eqarea.png 1 saved in Snake_River_sr29_sr29c_sr29c1_g_eqarea.png 1 saved in Snake_River_sr29_sr29g_sr29g1_g_eqarea.png 1 saved in Snake_River_sr29_sr29h_sr29h1_g_eqarea.png 1 saved in Snake_River_sr30_sr30a_sr30a1_g_eqarea.png 1 saved in Snake_River_sr30_sr30a_sr30a2_g_eqarea.png 1 saved in Snake_River_sr30_sr30c_sr30c1_g_eqarea.png 1 saved in Snake_River_sr30_sr30e_sr30e1_g_eqarea.png 1 saved in Snake_River_sr30_sr30i_sr30i1_g_eqarea.png 1 saved in Snake_River_sr31_sr31a_sr31a1_g_eqarea.png 1 saved in Snake_River_sr31_sr31a_sr31a2_g_eqarea.png 1 saved in Snake_River_sr31_sr31b_sr31b3_g_eqarea.png 1 saved in Snake_River_sr31_sr31c_sr31c1_g_eqarea.png 1 saved in Snake_River_sr31_sr31d_sr31d1_g_eqarea.png 1 saved in Snake_River_sr31_sr31f_sr31f1_g_eqarea.png 1 saved in Snake_River_sr34_sr34b_sr34b1_g_eqarea.png 1 saved in Snake_River_sr34_sr34c_sr34c1_g_eqarea.png 1 saved in Snake_River_sr34_sr34f_sr34f3_g_eqarea.png 1 saved in Snake_River_sr34_sr34j_sr34j1_g_eqarea.png 1 saved in Snake_River_sr34_sr34k_sr34k1_g_eqarea.png 1 saved in Snake_River_sr37_sr37a_sr37a2_g_eqarea.png 1 saved in Snake_River_sr37_sr37b_sr37b1_g_eqarea.png 1 saved in Snake_River_sr37_sr37e_sr37e1_g_eqarea.png 1 saved in Snake_River_sr37_sr37h_sr37h1_g_eqarea.png 1 saved in Snake_River_sr37_sr37j_sr37j1_g_eqarea.png 1 saved in Snake_River_sr39_sr39a_sr39a1_g_eqarea.png 1 saved in Snake_River_sr39_sr39b_sr39b1_g_eqarea.png 1 saved in Snake_River_sr39_sr39c_sr39c1_g_eqarea.png 1 saved in Snake_River_sr39_sr39i_sr39i1_g_eqarea.png 1 saved in Snake_River_sr40_sr40a_sr40a1_g_eqarea.png 1 saved in Snake_River_sr40_sr40c_sr40c2_g_eqarea.png 1 saved in Snake_River_sr40_sr40d_sr40d1_g_eqarea.png 1 saved in Snake_River_sr40_sr40g_sr40g1_g_eqarea.png 1 saved in Snake_River_sr01_sr01f_sr01f2_g_eqarea.png 1 saved in Snake_River_sr03_sr03g_sr03g1_g_eqarea.png 1 saved in Snake_River_sr04_sr04d_sr04d2_g_eqarea.png 1 saved in Snake_River_sr04_sr04g_sr04g1_g_eqarea.png 1 saved in Snake_River_sr04_sr04h_sr04h3_g_eqarea.png 1 saved in Snake_River_sr09_sr09c_sr09c3_g_eqarea.png 1 saved in Snake_River_sr09_sr09g_sr09g1_g_eqarea.png 1 saved in Snake_River_sr09_sr09i_sr09i1_g_eqarea.png 1 saved in Snake_River_sr11_sr11f_sr11f1_g_eqarea.png 1 saved in Snake_River_sr12_sr12a_sr12a3_g_eqarea.png 1 saved in Snake_River_sr12_sr12b_sr12b1_g_eqarea.png 1 saved in Snake_River_sr12_sr12e_sr12e1_g_eqarea.png 1 saved in Snake_River_sr16_sr16a_sr16a1_g_eqarea.png 1 saved in Snake_River_sr16_sr16b_sr16b1_g_eqarea.png 1 saved in Snake_River_sr16_sr16c_sr16c1_g_eqarea.png 1 saved in Snake_River_sr16_sr16d_sr16d1_g_eqarea.png 1 saved in Snake_River_sr16_sr16f_sr16f1_g_eqarea.png 1 saved in Snake_River_sr19_sr19e_sr19e2_g_eqarea.png 1 saved in Snake_River_sr19_sr19i_sr19i1_g_eqarea.png 1 saved in Snake_River_sr20_sr20c_sr20c1_g_eqarea.png 1 saved in Snake_River_sr20_sr20f_sr20f1_g_eqarea.png 1 saved in Snake_River_sr20_sr20g_sr20g1_g_eqarea.png 1 saved in Snake_River_sr20_sr20i_sr20i2_g_eqarea.png 1 saved in Snake_River_sr20_sr20j_sr20j2_g_eqarea.png 1 saved in Snake_River_sr21_sr21b_sr21b2_g_eqarea.png 1 saved in Snake_River_sr21_sr21g_sr21g2_g_eqarea.png 1 saved in Snake_River_sr21_sr21j_sr21j2_g_eqarea.png 1 saved in Snake_River_sr22_sr22a_sr22a1_g_eqarea.png 1 saved in Snake_River_sr22_sr22g_sr22g1_g_eqarea.png 1 saved in Snake_River_sr22_sr22i_sr22i2_g_eqarea.png 1 saved in Snake_River_sr23_sr23c_sr23c2_g_eqarea.png 1 saved in Snake_River_sr23_sr23e_sr23e1_g_eqarea.png 1 saved in Snake_River_sr23_sr23f_sr23f1_g_eqarea.png 1 saved in Snake_River_sr24_sr24i_sr24i2_g_eqarea.png 1 saved in Snake_River_sr25_sr25c_sr25c2_g_eqarea.png 1 saved in Snake_River_sr26_sr26b_sr26b2_g_eqarea.png 1 saved in Snake_River_sr26_sr26e_sr26e2_g_eqarea.png 1 saved in Snake_River_sr26_sr26g_sr26g1_g_eqarea.png 1 saved in Snake_River_sr27_sr27c_sr27c2_g_eqarea.png 1 saved in Snake_River_sr27_sr27d_sr27d1_g_eqarea.png 1 saved in Snake_River_sr28_sr28c_sr28c2_g_eqarea.png 1 saved in Snake_River_sr29_sr29e_sr29e3_g_eqarea.png 1 saved in Snake_River_sr30_sr30d_sr30d2_g_eqarea.png 1 saved in Snake_River_sr31_sr31b_sr31b1_g_eqarea.png 1 saved in Snake_River_sr34_sr34a_sr34a1_g_eqarea.png 1 saved in Snake_River_sr36_sr36d_sr36d2_g_eqarea.png 1 saved in Snake_River_sr37_sr37i_sr37i2_g_eqarea.png 1 saved in Snake_River_sr39_sr39j_sr39j2_g_eqarea.png 1 saved in Snake_River_sr40_sr40e_sr40e1_g_eqarea.png 1 saved in Snake_River_sr42_sr42b_sr42b1_g_eqarea.png
Out[85]:
In [86]:
# plotting all with no sites file
# get rid of any png files lying around
for fname in glob.glob("*.png"):
os.remove(fname)
# temporarily hide sites file
try:
os.rename('data_files/nrm_specimens_magic/sites.txt', 'data_files/nrm_specimens_magic/temp.txt')
except FileNotFoundError:
pass
# run eqarea_magic
!eqarea_magic.py -f data_files/nrm_specimens_magic/nrm_specimens.txt -crd g -fmt png -sav -obj all
Image('all_g_eqarea.png')
-W- Couldn't read in sites data -I- Make sure you've provided the correct file name -W- Couldn't read in sites data -I- Make sure you've provided the correct file name -W- Couldn't read in sites data -I- Make sure you've provided the correct file name 1 saved in all_g_eqarea.png
Out[86]:
In [87]:
# plotting by sample with no sites file
# get rid of any png files lying around
for fname in glob.glob("*.png"):
os.remove(fname)
!eqarea_magic.py -f data_files/nrm_specimens_magic/nrm_specimens.txt -crd g -fmt png -sav -obj sam
Image('sr42_sr42b_g_eqarea.png')
-W- Couldn't read in sites data -I- Make sure you've provided the correct file name -W- Couldn't read in sites data -I- Make sure you've provided the correct file name -W- Couldn't read in sites data -I- Make sure you've provided the correct file name 1 saved in sr01_sr01e_g_eqarea.png 1 saved in sr01_sr01g_g_eqarea.png 1 saved in sr03_sr03f_g_eqarea.png 1 saved in sr03_sr03h_g_eqarea.png 1 saved in sr03_sr03k_g_eqarea.png 1 saved in sr04_sr04e_g_eqarea.png 1 saved in sr04_sr04f_g_eqarea.png 1 saved in sr09_sr09b_g_eqarea.png 1 saved in sr09_sr09e_g_eqarea.png 1 saved in sr09_sr09f_g_eqarea.png 1 saved in sr11_sr11a_g_eqarea.png 1 saved in sr11_sr11b_g_eqarea.png 1 saved in sr11_sr11c_g_eqarea.png 1 saved in sr11_sr11e_g_eqarea.png 1 saved in sr11_sr11g_g_eqarea.png 1 saved in sr11_sr11i_g_eqarea.png 1 saved in sr11_sr11j_g_eqarea.png 1 saved in sr12_sr12c_g_eqarea.png 1 saved in sr12_sr12h_g_eqarea.png 1 saved in sr16_sr16e_g_eqarea.png 1 saved in sr16_sr16g_g_eqarea.png 1 saved in sr19_sr19a_g_eqarea.png 1 saved in sr19_sr19b_g_eqarea.png 1 saved in sr19_sr19h_g_eqarea.png 1 saved in sr20_sr20d_g_eqarea.png 1 saved in sr20_sr20e_g_eqarea.png 1 saved in sr20_sr20i_g_eqarea.png 1 saved in sr21_sr21d_g_eqarea.png 1 saved in sr22_sr22b_g_eqarea.png 1 saved in sr22_sr22d_g_eqarea.png 1 saved in sr22_sr22e_g_eqarea.png 1 saved in sr22_sr22f_g_eqarea.png 1 saved in sr23_sr23a_g_eqarea.png 1 saved in sr23_sr23b_g_eqarea.png 1 saved in sr23_sr23d_g_eqarea.png 1 saved in sr23_sr23g_g_eqarea.png 1 saved in sr24_sr24a_g_eqarea.png 1 saved in sr24_sr24b_g_eqarea.png 1 saved in sr24_sr24c_g_eqarea.png 1 saved in sr24_sr24d_g_eqarea.png 1 saved in sr24_sr24j_g_eqarea.png 1 saved in sr25_sr25b_g_eqarea.png 1 saved in sr25_sr25d_g_eqarea.png 1 saved in sr25_sr25e_g_eqarea.png 1 saved in sr25_sr25f_g_eqarea.png 1 saved in sr25_sr25h_g_eqarea.png 1 saved in sr26_sr26a_g_eqarea.png 1 saved in sr26_sr26c_g_eqarea.png 1 saved in sr26_sr26e_g_eqarea.png 1 saved in sr26_sr26f_g_eqarea.png 1 saved in sr26_sr26i_g_eqarea.png 1 saved in sr27_sr27a_g_eqarea.png 1 saved in sr27_sr27c_g_eqarea.png 1 saved in sr27_sr27e_g_eqarea.png 1 saved in sr28_sr28a_g_eqarea.png 1 saved in sr28_sr28g_g_eqarea.png 1 saved in sr29_sr29g_g_eqarea.png 1 saved in sr30_sr30b_g_eqarea.png 1 saved in sr31_sr31h_g_eqarea.png 1 saved in sr34_sr34f_g_eqarea.png 1 saved in sr34_sr34i_g_eqarea.png 1 saved in sr36_sr36a_g_eqarea.png 1 saved in sr36_sr36b_g_eqarea.png 1 saved in sr36_sr36c_g_eqarea.png 1 saved in sr36_sr36d_g_eqarea.png 1 saved in sr36_sr36e_g_eqarea.png 1 saved in sr36_sr36i_g_eqarea.png 1 saved in sr37_sr37g_g_eqarea.png 1 saved in sr37_sr37j_g_eqarea.png 1 saved in sr39_sr39g_g_eqarea.png 1 saved in sr39_sr39h_g_eqarea.png 1 saved in sr40_sr40f_g_eqarea.png 1 saved in sr42_sr42c_g_eqarea.png 1 saved in sr42_sr42f_g_eqarea.png 1 saved in sr42_sr42h_g_eqarea.png 1 saved in sr42_sr42j_g_eqarea.png 1 saved in sr01_sr01a_g_eqarea.png 1 saved in sr01_sr01c_g_eqarea.png 1 saved in sr01_sr01d_g_eqarea.png 1 saved in sr01_sr01i_g_eqarea.png 1 saved in sr03_sr03a_g_eqarea.png 1 saved in sr03_sr03b_g_eqarea.png 1 saved in sr03_sr03c_g_eqarea.png 1 saved in sr03_sr03e_g_eqarea.png 1 saved in sr21_sr21h_g_eqarea.png 1 saved in sr28_sr28b_g_eqarea.png 1 saved in sr28_sr28c_g_eqarea.png 1 saved in sr28_sr28e_g_eqarea.png 1 saved in sr28_sr28f_g_eqarea.png 1 saved in sr28_sr28h_g_eqarea.png 1 saved in sr29_sr29a_g_eqarea.png 1 saved in sr29_sr29b_g_eqarea.png 1 saved in sr29_sr29c_g_eqarea.png 1 saved in sr29_sr29h_g_eqarea.png 1 saved in sr30_sr30a_g_eqarea.png 1 saved in sr30_sr30c_g_eqarea.png 1 saved in sr30_sr30e_g_eqarea.png 1 saved in sr30_sr30i_g_eqarea.png 1 saved in sr31_sr31a_g_eqarea.png 1 saved in sr31_sr31b_g_eqarea.png 1 saved in sr31_sr31c_g_eqarea.png 1 saved in sr31_sr31d_g_eqarea.png 1 saved in sr31_sr31f_g_eqarea.png 1 saved in sr34_sr34b_g_eqarea.png 1 saved in sr34_sr34c_g_eqarea.png 1 saved in sr34_sr34j_g_eqarea.png 1 saved in sr34_sr34k_g_eqarea.png 1 saved in sr37_sr37a_g_eqarea.png 1 saved in sr37_sr37b_g_eqarea.png 1 saved in sr37_sr37e_g_eqarea.png 1 saved in sr37_sr37h_g_eqarea.png 1 saved in sr39_sr39a_g_eqarea.png 1 saved in sr39_sr39b_g_eqarea.png 1 saved in sr39_sr39c_g_eqarea.png 1 saved in sr39_sr39i_g_eqarea.png 1 saved in sr40_sr40a_g_eqarea.png 1 saved in sr40_sr40c_g_eqarea.png 1 saved in sr40_sr40d_g_eqarea.png 1 saved in sr40_sr40g_g_eqarea.png 1 saved in sr01_sr01f_g_eqarea.png 1 saved in sr03_sr03g_g_eqarea.png 1 saved in sr04_sr04d_g_eqarea.png 1 saved in sr04_sr04g_g_eqarea.png 1 saved in sr04_sr04h_g_eqarea.png 1 saved in sr09_sr09c_g_eqarea.png 1 saved in sr09_sr09g_g_eqarea.png 1 saved in sr09_sr09i_g_eqarea.png 1 saved in sr11_sr11f_g_eqarea.png 1 saved in sr12_sr12a_g_eqarea.png 1 saved in sr12_sr12b_g_eqarea.png 1 saved in sr12_sr12e_g_eqarea.png 1 saved in sr16_sr16a_g_eqarea.png 1 saved in sr16_sr16b_g_eqarea.png 1 saved in sr16_sr16c_g_eqarea.png 1 saved in sr16_sr16d_g_eqarea.png 1 saved in sr16_sr16f_g_eqarea.png 1 saved in sr19_sr19e_g_eqarea.png 1 saved in sr19_sr19i_g_eqarea.png 1 saved in sr20_sr20c_g_eqarea.png 1 saved in sr20_sr20f_g_eqarea.png 1 saved in sr20_sr20g_g_eqarea.png 1 saved in sr20_sr20j_g_eqarea.png 1 saved in sr21_sr21b_g_eqarea.png 1 saved in sr21_sr21g_g_eqarea.png 1 saved in sr21_sr21j_g_eqarea.png 1 saved in sr22_sr22a_g_eqarea.png 1 saved in sr22_sr22g_g_eqarea.png 1 saved in sr22_sr22i_g_eqarea.png 1 saved in sr23_sr23c_g_eqarea.png 1 saved in sr23_sr23e_g_eqarea.png 1 saved in sr23_sr23f_g_eqarea.png 1 saved in sr24_sr24i_g_eqarea.png 1 saved in sr25_sr25c_g_eqarea.png 1 saved in sr26_sr26b_g_eqarea.png 1 saved in sr26_sr26g_g_eqarea.png 1 saved in sr27_sr27d_g_eqarea.png 1 saved in sr29_sr29e_g_eqarea.png 1 saved in sr30_sr30d_g_eqarea.png 1 saved in sr34_sr34a_g_eqarea.png 1 saved in sr37_sr37i_g_eqarea.png 1 saved in sr39_sr39j_g_eqarea.png 1 saved in sr40_sr40e_g_eqarea.png 1 saved in sr42_sr42b_g_eqarea.png
Out[87]:
In [88]:
# can't get site data with no site or sample file, will fail gracefully
!mv data_files/nrm_specimens_magic/samples.txt data_files/nrm_specimens_magic/temp_samples.txt
!eqarea_magic.py -f data_files/nrm_specimens_magic/nrm_specimens.txt -crd g -fmt png -sav -obj sit
!mv data_files/nrm_specimens_magic/temp_samples.txt data_files/nrm_specimens_magic/samples.txt
-W- Couldn't read in samples data -I- Make sure you've provided the correct file name -W- Couldn't read in samples data -I- Make sure you've provided the correct file name -W- Couldn't read in samples data -I- Make sure you've provided the correct file name -W- Couldn't read in samples data -I- Make sure you've provided the correct file name -E- You can't plot by site with the data provided
In [89]:
# plotting by sample
# get rid of any png files lying around
for fname in glob.glob("*.png"):
os.remove(fname)
try:
os.rename('data_files/nrm_specimens_magic/temp.txt', 'data_files/nrm_specimens_magic/sites.txt')
except FileNotFoundError:
pass
!eqarea_magic.py -f data_files/nrm_specimens_magic/nrm_specimens.txt -crd g -fmt png -sav -obj sam
Image('Snake_River_sr42_sr42b_g_eqarea.png')
1 saved in Snake_River_sr01_sr01e_g_eqarea.png 1 saved in Snake_River_sr01_sr01g_g_eqarea.png 1 saved in Snake_River_sr03_sr03f_g_eqarea.png 1 saved in Snake_River_sr03_sr03h_g_eqarea.png 1 saved in Snake_River_sr03_sr03k_g_eqarea.png 1 saved in Snake_River_sr04_sr04e_g_eqarea.png 1 saved in Snake_River_sr04_sr04f_g_eqarea.png 1 saved in Snake_River_sr09_sr09b_g_eqarea.png 1 saved in Snake_River_sr09_sr09e_g_eqarea.png 1 saved in Snake_River_sr09_sr09f_g_eqarea.png 1 saved in Snake_River_sr11_sr11a_g_eqarea.png 1 saved in Snake_River_sr11_sr11b_g_eqarea.png 1 saved in Snake_River_sr11_sr11c_g_eqarea.png 1 saved in Snake_River_sr11_sr11e_g_eqarea.png 1 saved in Snake_River_sr11_sr11g_g_eqarea.png 1 saved in Snake_River_sr11_sr11i_g_eqarea.png 1 saved in Snake_River_sr11_sr11j_g_eqarea.png 1 saved in Snake_River_sr12_sr12c_g_eqarea.png 1 saved in Snake_River_sr12_sr12h_g_eqarea.png 1 saved in Snake_River_sr16_sr16e_g_eqarea.png 1 saved in Snake_River_sr16_sr16g_g_eqarea.png 1 saved in Snake_River_sr19_sr19a_g_eqarea.png 1 saved in Snake_River_sr19_sr19b_g_eqarea.png 1 saved in Snake_River_sr19_sr19h_g_eqarea.png 1 saved in Snake_River_sr20_sr20d_g_eqarea.png 1 saved in Snake_River_sr20_sr20e_g_eqarea.png 1 saved in Snake_River_sr20_sr20i_g_eqarea.png 1 saved in Snake_River_sr21_sr21d_g_eqarea.png 1 saved in Snake_River_sr22_sr22b_g_eqarea.png 1 saved in Snake_River_sr22_sr22d_g_eqarea.png 1 saved in Snake_River_sr22_sr22e_g_eqarea.png 1 saved in Snake_River_sr22_sr22f_g_eqarea.png 1 saved in Snake_River_sr23_sr23a_g_eqarea.png 1 saved in Snake_River_sr23_sr23b_g_eqarea.png 1 saved in Snake_River_sr23_sr23d_g_eqarea.png 1 saved in Snake_River_sr23_sr23g_g_eqarea.png 1 saved in Snake_River_sr24_sr24a_g_eqarea.png 1 saved in Snake_River_sr24_sr24b_g_eqarea.png 1 saved in Snake_River_sr24_sr24c_g_eqarea.png 1 saved in Snake_River_sr24_sr24d_g_eqarea.png 1 saved in Snake_River_sr24_sr24j_g_eqarea.png 1 saved in Snake_River_sr25_sr25b_g_eqarea.png 1 saved in Snake_River_sr25_sr25d_g_eqarea.png 1 saved in Snake_River_sr25_sr25e_g_eqarea.png 1 saved in Snake_River_sr25_sr25f_g_eqarea.png 1 saved in Snake_River_sr25_sr25h_g_eqarea.png 1 saved in Snake_River_sr26_sr26a_g_eqarea.png 1 saved in Snake_River_sr26_sr26c_g_eqarea.png 1 saved in Snake_River_sr26_sr26e_g_eqarea.png 1 saved in Snake_River_sr26_sr26f_g_eqarea.png 1 saved in Snake_River_sr26_sr26i_g_eqarea.png 1 saved in Snake_River_sr27_sr27a_g_eqarea.png 1 saved in Snake_River_sr27_sr27c_g_eqarea.png 1 saved in Snake_River_sr27_sr27e_g_eqarea.png 1 saved in Snake_River_sr28_sr28a_g_eqarea.png 1 saved in Snake_River_sr28_sr28g_g_eqarea.png 1 saved in Snake_River_sr29_sr29g_g_eqarea.png 1 saved in Snake_River_sr30_sr30b_g_eqarea.png 1 saved in Snake_River_sr31_sr31h_g_eqarea.png 1 saved in Snake_River_sr34_sr34f_g_eqarea.png 1 saved in Snake_River_sr34_sr34i_g_eqarea.png 1 saved in Snake_River_sr36_sr36a_g_eqarea.png 1 saved in Snake_River_sr36_sr36b_g_eqarea.png 1 saved in Snake_River_sr36_sr36c_g_eqarea.png 1 saved in Snake_River_sr36_sr36d_g_eqarea.png 1 saved in Snake_River_sr36_sr36e_g_eqarea.png 1 saved in Snake_River_sr36_sr36i_g_eqarea.png 1 saved in Snake_River_sr37_sr37g_g_eqarea.png 1 saved in Snake_River_sr37_sr37j_g_eqarea.png 1 saved in Snake_River_sr39_sr39g_g_eqarea.png 1 saved in Snake_River_sr39_sr39h_g_eqarea.png 1 saved in Snake_River_sr40_sr40f_g_eqarea.png 1 saved in Snake_River_sr42_sr42c_g_eqarea.png 1 saved in Snake_River_sr42_sr42f_g_eqarea.png 1 saved in Snake_River_sr42_sr42h_g_eqarea.png 1 saved in Snake_River_sr42_sr42j_g_eqarea.png 1 saved in Snake_River_sr01_sr01a_g_eqarea.png 1 saved in Snake_River_sr01_sr01c_g_eqarea.png 1 saved in Snake_River_sr01_sr01d_g_eqarea.png 1 saved in Snake_River_sr01_sr01i_g_eqarea.png 1 saved in Snake_River_sr03_sr03a_g_eqarea.png 1 saved in Snake_River_sr03_sr03b_g_eqarea.png 1 saved in Snake_River_sr03_sr03c_g_eqarea.png 1 saved in Snake_River_sr03_sr03e_g_eqarea.png 1 saved in Snake_River_sr21_sr21h_g_eqarea.png 1 saved in Snake_River_sr28_sr28b_g_eqarea.png 1 saved in Snake_River_sr28_sr28c_g_eqarea.png 1 saved in Snake_River_sr28_sr28e_g_eqarea.png 1 saved in Snake_River_sr28_sr28f_g_eqarea.png 1 saved in Snake_River_sr28_sr28h_g_eqarea.png 1 saved in Snake_River_sr29_sr29a_g_eqarea.png 1 saved in Snake_River_sr29_sr29b_g_eqarea.png 1 saved in Snake_River_sr29_sr29c_g_eqarea.png 1 saved in Snake_River_sr29_sr29h_g_eqarea.png 1 saved in Snake_River_sr30_sr30a_g_eqarea.png 1 saved in Snake_River_sr30_sr30c_g_eqarea.png 1 saved in Snake_River_sr30_sr30e_g_eqarea.png 1 saved in Snake_River_sr30_sr30i_g_eqarea.png 1 saved in Snake_River_sr31_sr31a_g_eqarea.png 1 saved in Snake_River_sr31_sr31b_g_eqarea.png 1 saved in Snake_River_sr31_sr31c_g_eqarea.png 1 saved in Snake_River_sr31_sr31d_g_eqarea.png 1 saved in Snake_River_sr31_sr31f_g_eqarea.png 1 saved in Snake_River_sr34_sr34b_g_eqarea.png 1 saved in Snake_River_sr34_sr34c_g_eqarea.png 1 saved in Snake_River_sr34_sr34j_g_eqarea.png 1 saved in Snake_River_sr34_sr34k_g_eqarea.png 1 saved in Snake_River_sr37_sr37a_g_eqarea.png 1 saved in Snake_River_sr37_sr37b_g_eqarea.png 1 saved in Snake_River_sr37_sr37e_g_eqarea.png 1 saved in Snake_River_sr37_sr37h_g_eqarea.png 1 saved in Snake_River_sr39_sr39a_g_eqarea.png 1 saved in Snake_River_sr39_sr39b_g_eqarea.png 1 saved in Snake_River_sr39_sr39c_g_eqarea.png 1 saved in Snake_River_sr39_sr39i_g_eqarea.png 1 saved in Snake_River_sr40_sr40a_g_eqarea.png 1 saved in Snake_River_sr40_sr40c_g_eqarea.png 1 saved in Snake_River_sr40_sr40d_g_eqarea.png 1 saved in Snake_River_sr40_sr40g_g_eqarea.png 1 saved in Snake_River_sr01_sr01f_g_eqarea.png 1 saved in Snake_River_sr03_sr03g_g_eqarea.png 1 saved in Snake_River_sr04_sr04d_g_eqarea.png 1 saved in Snake_River_sr04_sr04g_g_eqarea.png 1 saved in Snake_River_sr04_sr04h_g_eqarea.png 1 saved in Snake_River_sr09_sr09c_g_eqarea.png 1 saved in Snake_River_sr09_sr09g_g_eqarea.png 1 saved in Snake_River_sr09_sr09i_g_eqarea.png 1 saved in Snake_River_sr11_sr11f_g_eqarea.png 1 saved in Snake_River_sr12_sr12a_g_eqarea.png 1 saved in Snake_River_sr12_sr12b_g_eqarea.png 1 saved in Snake_River_sr12_sr12e_g_eqarea.png 1 saved in Snake_River_sr16_sr16a_g_eqarea.png 1 saved in Snake_River_sr16_sr16b_g_eqarea.png 1 saved in Snake_River_sr16_sr16c_g_eqarea.png 1 saved in Snake_River_sr16_sr16d_g_eqarea.png 1 saved in Snake_River_sr16_sr16f_g_eqarea.png 1 saved in Snake_River_sr19_sr19e_g_eqarea.png 1 saved in Snake_River_sr19_sr19i_g_eqarea.png 1 saved in Snake_River_sr20_sr20c_g_eqarea.png 1 saved in Snake_River_sr20_sr20f_g_eqarea.png 1 saved in Snake_River_sr20_sr20g_g_eqarea.png 1 saved in Snake_River_sr20_sr20j_g_eqarea.png 1 saved in Snake_River_sr21_sr21b_g_eqarea.png 1 saved in Snake_River_sr21_sr21g_g_eqarea.png 1 saved in Snake_River_sr21_sr21j_g_eqarea.png 1 saved in Snake_River_sr22_sr22a_g_eqarea.png 1 saved in Snake_River_sr22_sr22g_g_eqarea.png 1 saved in Snake_River_sr22_sr22i_g_eqarea.png 1 saved in Snake_River_sr23_sr23c_g_eqarea.png 1 saved in Snake_River_sr23_sr23e_g_eqarea.png 1 saved in Snake_River_sr23_sr23f_g_eqarea.png 1 saved in Snake_River_sr24_sr24i_g_eqarea.png 1 saved in Snake_River_sr25_sr25c_g_eqarea.png 1 saved in Snake_River_sr26_sr26b_g_eqarea.png 1 saved in Snake_River_sr26_sr26g_g_eqarea.png 1 saved in Snake_River_sr27_sr27d_g_eqarea.png 1 saved in Snake_River_sr29_sr29e_g_eqarea.png 1 saved in Snake_River_sr30_sr30d_g_eqarea.png 1 saved in Snake_River_sr34_sr34a_g_eqarea.png 1 saved in Snake_River_sr37_sr37i_g_eqarea.png 1 saved in Snake_River_sr39_sr39j_g_eqarea.png 1 saved in Snake_River_sr40_sr40e_g_eqarea.png 1 saved in Snake_River_sr42_sr42b_g_eqarea.png
Out[89]:
In [90]:
# plotting all
for fname in glob.glob("*.png"):
os.remove(fname)
!eqarea_magic.py -WD data_files/nrm_specimens_magic/ -f nrm_specimens.txt -crd g -fmt png -sav -obj all
Image('all_Snake_River_g_eqarea.png')
1 saved in all_Snake_River_g_eqarea.png
Out[90]:
In [91]:
# using unknown option for -obj, will default to plotting all instead
for fname in glob.glob("*.png"):
os.remove(fname)
!eqarea_magic.py -f data_files/nrm_specimens_magic/samples.txt -crd g -fmt png -sav -obj loc # will use 'all'
Image('all_Snake_River_g_eqarea.png')
1 saved in all_Snake_River_g_eqarea.png
Out[91]:
eqarea_magic2.py¶
In [92]:
!eqarea_magic2.py -obj loc -crd g -f data_files/eqarea_magic/pmag_results.txt\
-ell Be -fmt png -sav
1 saved in Snake_River_gu_eqarea.png
In [93]:
Image(filename='Snake_River_gu_eqarea.png')
Out[93]:
find_ei.py¶
In [94]:
!find_ei.py -f data_files/find_EI/find_EI_example.dat -fmt png -sav -n 300
Bootstrapping.... be patient 25 out of 300 50 out of 300 75 out of 300 100 out of 300 125 out of 300 150 out of 300 175 out of 300 200 out of 300 225 out of 300 250 out of 300 275 out of 300 300 out of 300 1 saved in findEI_eq.png 2 saved in findEI_ei.png 3 saved in findEI_cdf.png 4 saved in findEI_v2.png
In [95]:
Image(filename='findEI_ei.png')
Out[95]:
In [96]:
Image(filename='findEI_cdf.png')
Out[96]:
In [97]:
Image(filename='findEI_eq.png')
Out[97]:
In [98]:
Image(filename='findEI_v2.png')
Out[98]:
fisher.py¶
In [99]:
!fisher.py -k 30 -n 10
177.4 78.0 259.9 68.6 226.2 78.9 261.8 79.0 215.2 85.7 347.0 81.4 41.3 79.0 115.5 71.4 339.2 86.1 169.8 68.1
fishqq.py¶
In [100]:
!fishqq.py -f data_files/fishqq/fishqq_example.txt -fmt png -sav
1 saved in data_files-fishqq-fishqq_example.txt_unf1.png 2 saved in data_files-fishqq-fishqq_example.txt_exp1.png
In [101]:
Image(filename='data_files-fishqq-fishqq_example.txt_unf1.png')
Out[101]:
In [102]:
Image(filename='data_files-fishqq-fishqq_example.txt_exp1.png')
Out[102]:
fishrot.py¶
In [103]:
!fishrot.py -n 5 -D 33 -I 41 -k 50
18.7 50.4 49.1 46.9 55.6 52.7 35.8 31.5 38.0 36.9
foldtest.py¶
In [104]:
!foldtest.py -f data_files/foldtest/foldtest_example.dat -fmt png -sav -n 300
doing 300 iterations...please be patient..... 0 50 100 150 200 250 83 - 119 Percent Unfolding range of all bootstrap samples: 76 - 136 1 saved in foldtest_ge.png 2 saved in foldtest_st.png 3 saved in foldtest_ta.png
In [105]:
Image(filename='foldtest_ta.png')
Out[105]:
In [106]:
Image(filename='foldtest_st.png')
Out[106]:
In [107]:
Image(filename='foldtest_ge.png')
Out[107]:
foldtest_magic.py¶
In [108]:
!foldtest_magic.py -f data_files/foldtest_magic/sites.txt -fmt png -sav -DM 3 -n 300 -exc
doing 300 iterations...please be patient..... 0 50 100 150 200 250 20 - 95 Percent Unfolding 1 saved in foldtest_ge.png 2 saved in foldtest_st.png 3 saved in foldtest_ta.png
In [109]:
Image(filename='foldtest_ge.png')
Out[109]:
In [110]:
!download_magic.py -WD data_files/foldtest_magic -f data_files/foldtest_magic/magic_contribution_11087.txt
working on: 'er_locations' 2 records written to file data_files/foldtest_magic/er_locations.txt er_locations data put in data_files/foldtest_magic/er_locations.txt working on: 'er_sites' 30 records written to file data_files/foldtest_magic/er_sites.txt er_sites data put in data_files/foldtest_magic/er_sites.txt working on: 'er_citations' 5 records written to file data_files/foldtest_magic/er_citations.txt er_citations data put in data_files/foldtest_magic/er_citations.txt working on: 'pmag_sites' 60 records written to file data_files/foldtest_magic/pmag_sites.txt pmag_sites data put in data_files/foldtest_magic/pmag_sites.txt working on: 'pmag_results' 32 records written to file data_files/foldtest_magic/pmag_results.txt pmag_results data put in data_files/foldtest_magic/pmag_results.txt working on: 'magic_methods' 9 records written to file data_files/foldtest_magic/magic_methods.txt magic_methods data put in data_files/foldtest_magic/magic_methods.txt
In [111]:
!foldtest_magic.py -f data_files/foldtest_magic/pmag_sites.txt \
-fsi data_files/foldtest_magic/er_sites.txt -fmt png -sav -DM 2 -n 300
doing 300 iterations...please be patient..... 0 50 100 150 200 250 96 - 149 Percent Unfolding 1 saved in foldtest_ge.png 2 saved in foldtest_st.png 3 saved in foldtest_ta.png
In [112]:
Image(filename='foldtest_ge.png')
Out[112]:
In [113]:
Image(filename='foldtest_st.png')
Out[113]:
In [114]:
Image(filename='foldtest_ta.png')
Out[114]:
forc_diagram.py¶
In [115]:
!forc_diagram.py -f data_files/forc_diagram/conventional_example.forc -sf 3 -sav -fmt png
Image('forc.png')
1 saved in forc.png
Out[115]:
gaussian.py¶
In [116]:
!gaussian.py -s 3 -n 1000 -m 10. -F data_files/gaussian/gaussian.out
!histplot.py -f data_files/gaussian/gaussian.out -fmt png -sav
hist.png plot saved in hist.png
In [117]:
Image(filename='hist.png')
Out[117]:
generic_magic.py¶
In [118]:
!generic_magic.py -f data_files/convert_2_magic/generic_magic/generic_magic_example.txt -exp PI
adding measurement column to measurements table! -I- overwriting /Users/nebula/Python/PmagPy/measurements.txt -I- 23 records written to measurements file -I- overwriting /Users/nebula/Python/PmagPy/specimens.txt -I- 2 records written to specimens file -I- overwriting /Users/nebula/Python/PmagPy/samples.txt -I- 2 records written to samples file -I- overwriting /Users/nebula/Python/PmagPy/sites.txt -I- 2 records written to sites file -I- overwriting /Users/nebula/Python/PmagPy/locations.txt -I- 1 records written to locations file -I- overwriting /Users/nebula/Python/PmagPy/measurements.txt -I- 23 records written to measurements file
gobing.py¶
In [119]:
!gobing.py -f data_files/gobing/gobing_example.txt
357.8 60.3 4.5 105.7 10.0 4.5 21.0 -27.6 20
gofish.py¶
In [120]:
!gofish.py -f data_files/gofish/fishrot.out
10.8 39.6 10 9.8484 59.4 6.3 10.5
gokent.py¶
In [121]:
!gokent.py -f data_files/gokent/gokent_example.txt
359.2 55.0 9.3 147.7 30.8 7.8 246.8 14.9 20
goprinc.py¶
In [122]:
!goprinc.py -f data_files/goprinc/tk03.out
0.93863 11.0 58.6 0.04258 226.4 26.5 0.01879 128.3 15.6 20
grab_magic_key.py¶
In [123]:
!grab_magic_key.py -f data_files/download_magic/er_sites.txt -key site_lat
bad file name
histplot.py¶
see gaussian.py
huji_magic.py¶
In [124]:
!huji_magic.py -f data_files/convert_2_magic/HUJI_magic/Massada_AF_HUJI_new_format.txt -LP T
-W- Identical treatments in file data_files/convert_2_magic/HUJI_magic/Massada_AF_HUJI_new_format.txt magfile line 818: specimen M5-119E, treatment 0 ignoring the first. -I- done reading file data_files/convert_2_magic/HUJI_magic/Massada_AF_HUJI_new_format.txt adding measurement column to measurements table! -I- overwriting /Users/nebula/Python/PmagPy/measurements.txt -I- 616 records written to measurements file -I- overwriting /Users/nebula/Python/PmagPy/specimens.txt -I- 56 records written to specimens file -I- overwriting /Users/nebula/Python/PmagPy/samples.txt -I- 56 records written to samples file -I- overwriting /Users/nebula/Python/PmagPy/sites.txt -I- 29 records written to sites file -I- overwriting /Users/nebula/Python/PmagPy/locations.txt -I- 1 records written to locations file -I- overwriting /Users/nebula/Python/PmagPy/measurements.txt -I- 616 records written to measurements file
huji_sample_magic.py¶
In [125]:
!huji_sample_magic.py -f data_files/convert_2_magic/HUJI_magic/magdelkrum_datafile.txt
-I- reading in: /Users/nebula/Python/PmagPy/data_files/convert_2_magic/HUJI_magic/magdelkrum_datafile.txt 57 records written to file /Users/nebula/Python/PmagPy/samples.txt 57 records written to file /Users/nebula/Python/PmagPy/sites.txt Sample info saved in /Users/nebula/Python/PmagPy/samples.txt Site info saved in /Users/nebula/Python/PmagPy/sites.txt
hysteresis_magic.py¶
In [126]:
# for MagIC data model 3:
!hysteresis_magic.py -WD data_files/hysteresis_magic/ -f measurements.txt \
-spc IS06a-1 -fmt png -sav
IS06a-1 1 saved in IS06a-1_hyst.png 2 saved in IS06a-1_deltaM.png 3 saved in IS06a-1_DdeltaM.png 4 saved in IS06a-1_irm.png
In [127]:
Image(filename='IS06a-1_hyst.png')
Out[127]:
In [128]:
Image('IS06a-1_deltaM.png')
Out[128]:
In [129]:
# For MagIC data model 2:
!hysteresis_magic2.py -WD data_files/hysteresis_magic/ -f hysteresis_magic_example.dat \
-spc IS06a-1 -fmt png -sav
IS06a-1 1 saved in _IS06a-1_hyst.png 2 saved in _IS06a-1_deltaM.png 3 saved in _IS06a-1_DdeltaM.png 5 saved in _IS06a-1_irm.png
In [130]:
Image(filename='_IS06a-1_hyst.png')
Out[130]:
In [131]:
!hysteresis_magic.py -WD data_files/hysteresis_magic/ -f measurements.txt \
-spc IS06a-1 -fmt png -sav
IS06a-1 1 saved in IS06a-1_hyst.png 2 saved in IS06a-1_deltaM.png 3 saved in IS06a-1_DdeltaM.png 4 saved in IS06a-1_irm.png
In [132]:
Image(filename='IS06a-1_hyst.png')
Out[132]:
iodp_dscr_magic.py¶
In [133]:
!iodp_dscr_magic.py -f data_files/convert_2_magic/IODP_srm_magic/IODP_LIMS_SRMdiscrete_344_1414A.csv
processing: /Users/nebula/Python/PmagPy/data_files/convert_2_magic/IODP_srm_magic/IODP_LIMS_SRMdiscrete_344_1414A.csv adding measurement column to measurements table! -I- overwriting /Users/nebula/Python/PmagPy/measurements.txt -I- 112 records written to measurements file -I- overwriting /Users/nebula/Python/PmagPy/specimens.txt -I- 56 records written to specimens file -I- overwriting /Users/nebula/Python/PmagPy/samples.txt -I- 32 records written to samples file -I- overwriting /Users/nebula/Python/PmagPy/sites.txt -I- 1 records written to sites file -I- overwriting /Users/nebula/Python/PmagPy/locations.txt -I- 1 records written to locations file -I- overwriting /Users/nebula/Python/PmagPy/measurements.txt -I- 112 records written to measurements file
iodp_jr6_magic.py¶
In [134]:
!iodp_jr6_magic.py -f data_files/convert_2_magic/IODP_jr6_magic/test.jr6
adding measurement column to measurements table! -I- overwriting /Users/nebula/Python/PmagPy/measurements.txt -I- 1 records written to measurements file -I- overwriting /Users/nebula/Python/PmagPy/specimens.txt -I- 1 records written to specimens file -I- overwriting /Users/nebula/Python/PmagPy/samples.txt -I- 1 records written to samples file -I- overwriting /Users/nebula/Python/PmagPy/sites.txt -I- 1 records written to sites file -I- overwriting /Users/nebula/Python/PmagPy/locations.txt -I- 1 records written to locations file -I- overwriting /Users/nebula/Python/PmagPy/measurements.txt -I- 1 records written to measurements file
iodp_srm_magic.py¶
In [135]:
!iodp_srm_magic.py -f data_files/convert_2_magic/iodp_srm_magic/SRM_318_U1359_B_A.csv
processing: data_files/convert_2_magic/iodp_srm_magic/SRM_318_U1359_B_A.csv No dec or inc found for specimen 318-U1359B-003H_2A-0.00, skipping No dec or inc found for specimen 318-U1359B-003H_2A-0.00, skipping No dec or inc found for specimen 318-U1359B-003H_2A-0.00, skipping No dec or inc found for specimen 318-U1359B-003H_2A-0.00, skipping No dec or inc found for specimen 318-U1359B-003H_2A-0.00, skipping No dec or inc found for specimen 318-U1359B-003H_2A-0.00, skipping No dec or inc found for specimen 318-U1359B-003H_2A-0.00, skipping No dec or inc found for specimen 318-U1359B-003H_2A-0.00, skipping No dec or inc found for specimen 318-U1359B-003H_2A-0.00, skipping No dec or inc found for specimen 318-U1359B-003H_2A-0.00, skipping No dec or inc found for specimen 318-U1359B-003H_2A-0.00, skipping No dec or inc found for specimen 318-U1359B-003H_2A-0.00, skipping No dec or inc found for specimen 318-U1359B-003H_2A-0.00, skipping No dec or inc found for specimen 318-U1359B-003H_2A-0.00, skipping No dec or inc found for specimen 318-U1359B-003H_2A-0.00, skipping No dec or inc found for specimen 318-U1359B-003H_2A-0.00, skipping No dec or inc found for specimen 318-U1359B-003H_2A-0.00, skipping No dec or inc found for specimen 318-U1359B-003H_2A-0.00, skipping No dec or inc found for specimen 318-U1359B-003H_2A-0.00, skipping No dec or inc found for specimen 318-U1359B-003H_2A-0.00, skipping No dec or inc found for specimen 318-U1359B-003H_2A-0.00, skipping adding measurement column to measurements table! -I- overwriting /Users/nebula/Python/PmagPy/measurements.txt -I- 6275 records written to measurements file -I- overwriting /Users/nebula/Python/PmagPy/specimens.txt -I- 3233 records written to specimens file -I- overwriting /Users/nebula/Python/PmagPy/samples.txt -I- 22 records written to samples file -I- overwriting /Users/nebula/Python/PmagPy/sites.txt -I- 1 records written to sites file -I- overwriting /Users/nebula/Python/PmagPy/locations.txt -I- 1 records written to locations file -I- overwriting /Users/nebula/Python/PmagPy/measurements.txt -I- 6275 records written to measurements file
igrf.py¶
In [136]:
!igrf.py -ages -3000 1950 50 -loc 33 -117 -mod pfm9k -plt -fmt png -sav
Figure saved as: igrf.png
In [137]:
Image(filename='igrf.png')
Out[137]:
install_etopo.py¶
In [138]:
!install_etopo.py
installing etopo20 files from /Users/nebula/Python/PmagPy/data_files/etopo20/etopo20* to the basemap data directory: /Users/nebula/anaconda3/share/basemap
incfish.py¶
In [139]:
!incfish.py -f data_files/incfish/incfish_example_inc.dat
57.1 61.0 100 92.9 13.9 1.0
irmaq_magic.py¶
In [140]:
!sio_magic.py -f data_files/irmaq_magic/U1359A_IRM_coil2.txt -LP I -V 2 \
-WD data_files/irmaq_magic/ -F U1359A_IRM_coil2.magic -loc U1359A -spc 0 -ncn 5 \
-Fsp coil2_specimens.txt -Fsa coil2_samples.txt -Fsi coil2_sites.txt -Flo coil2_locations.txt
!sio_magic.py -f data_files/irmaq_magic/U1359A_IRM_coil3.txt -LP I -V 3 \
-WD data_files/irmaq_magic/ -F U1359A_IRM_coil3.magic -loc U1359A -spc 0 -ncn 5 \
-Fsp coil3_specimens.txt -Fsa coil3_samples.txt -Fsi coil3_sites.txt -Flo coil3_locations.txt
!combine_magic.py -F data_files/irmaq_magic/measurements.txt \
-f data_files/irmaq_magic/U1359A_IRM_coil2.magic \
data_files/irmaq_magic/U1359A_IRM_coil3.magic -dm 3
!combine_magic.py -F measurements.txt -WD data_files/irmaq_magic \
-f U1359A_IRM_coil2.magic U1359A_IRM_coil3.magic -dm 3
!combine_magic.py -F specimens.txt -WD data_files/irmaq_magic \
-f coil2_specimens.txt coil3_specimens.txt
!combine_magic.py -F samples.txt -WD data_files/irmaq_magic \
-f coil2_samples.txt coil3_samples.txt
!combine_magic.py -F sites.txt -WD data_files/irmaq_magic \
-f coil2_sites.txt coil3_sites.txt
!combine_magic.py -F locations.txt -WD data_files/irmaq_magic \
-f coil2_locations.txt coil3_locations.txt
adding measurement column to measurements table! -I- overwriting /Users/nebula/Python/PmagPy/measurements.txt -I- 536 records written to measurements file -I- writing specimens records to /Users/nebula/Python/PmagPy/data_files/irmaq_magic/coil2_specimens.txt -I- 49 records written to specimens file -I- writing samples records to /Users/nebula/Python/PmagPy/data_files/irmaq_magic/coil2_samples.txt -I- 49 records written to samples file -I- writing sites records to /Users/nebula/Python/PmagPy/data_files/irmaq_magic/coil2_sites.txt -I- 49 records written to sites file -I- writing locations records to /Users/nebula/Python/PmagPy/data_files/irmaq_magic/coil2_locations.txt -I- 1 records written to locations file -I- writing measurements records to /Users/nebula/Python/PmagPy/data_files/irmaq_magic/U1359A_IRM_coil2.magic -I- 536 records written to measurements file adding measurement column to measurements table! -I- overwriting /Users/nebula/Python/PmagPy/measurements.txt -I- 23 records written to measurements file -I- writing specimens records to /Users/nebula/Python/PmagPy/data_files/irmaq_magic/coil3_specimens.txt -I- 14 records written to specimens file -I- writing samples records to /Users/nebula/Python/PmagPy/data_files/irmaq_magic/coil3_samples.txt -I- 14 records written to samples file -I- writing sites records to /Users/nebula/Python/PmagPy/data_files/irmaq_magic/coil3_sites.txt -I- 14 records written to sites file -I- writing locations records to /Users/nebula/Python/PmagPy/data_files/irmaq_magic/coil3_locations.txt -I- 1 records written to locations file -I- writing measurements records to /Users/nebula/Python/PmagPy/data_files/irmaq_magic/U1359A_IRM_coil3.magic -I- 23 records written to measurements file Using default arguments for: -A, -WD, -ID, -Fsa, -Fsi -I- overwriting /Users/nebula/Python/PmagPy/data_files/irmaq_magic/measurements.txt -I- 559 records written to measurements file Using default arguments for: -A, -ID, -Fsa, -Fsi -I- overwriting /Users/nebula/Python/PmagPy/data_files/irmaq_magic/measurements.txt -I- 559 records written to measurements file Using default arguments for: -A, -ID, -Fsa, -Fsi, -dm -I- writing specimens records to /Users/nebula/Python/PmagPy/data_files/irmaq_magic/specimens.txt -I- 63 records written to specimens file Using default arguments for: -A, -ID, -Fsa, -Fsi, -dm -I- writing samples records to /Users/nebula/Python/PmagPy/data_files/irmaq_magic/samples.txt -I- 63 records written to samples file Using default arguments for: -A, -ID, -Fsa, -Fsi, -dm -I- writing sites records to /Users/nebula/Python/PmagPy/data_files/irmaq_magic/sites.txt -I- 63 records written to sites file Using default arguments for: -A, -ID, -Fsa, -Fsi, -dm -I- writing locations records to /Users/nebula/Python/PmagPy/data_files/irmaq_magic/locations.txt -I- 1 records written to locations file
In [141]:
!irmaq_magic.py -f data_files/irmaq_magic/measurements.txt -fmt png -sav -DM 3
-W- You are trying to plot measurements by location
By default, this information is not available in your measurement file.
Trying to acquire this information from /Users/nebula/Python/PmagPy/data_files/irmaq_magic
-I- Found location information, continuing with plotting
U1359A
1 saved in U1359A_LP-IRM.png
In [142]:
Image("U1359A_LP-IRM.png")
Out[142]:
irmaq_magic.py (data model 2)¶
In [143]:
!sio_magic2.py -f data_files/irmaq_magic/U1359A_IRM_coil2.txt -LP I -V 2 \
-F data_files/irmaq_magic/U1359A_IRM_coil2.magic -loc U1359A -spc 0 -ncn 5
!sio_magic2.py -f data_files/irmaq_magic/U1359A_IRM_coil3.txt -LP I -V 3 \
-F data_files/irmaq_magic/U1359A_IRM_coil3.magic -loc U1359A -spc 0 -ncn 5
!combine_magic.py -F data_files/irmaq_magic/magic_measurements.txt \
-f data_files/irmaq_magic/U1359A_IRM_coil2.magic \
data_files/irmaq_magic/U1359A_IRM_coil3.magic -dm 2
536 records written to file data_files/irmaq_magic/U1359A_IRM_coil2.magic results put in data_files/irmaq_magic/U1359A_IRM_coil2.magic 23 records written to file data_files/irmaq_magic/U1359A_IRM_coil3.magic results put in data_files/irmaq_magic/U1359A_IRM_coil3.magic Using default arguments for: -A, -WD, -ID, -Fsa, -Fsi File ./data_files/irmaq_magic/U1359A_IRM_coil2.magic read in with 536 records File ./data_files/irmaq_magic/U1359A_IRM_coil3.magic read in with 23 records 559 records written to file ./data_files/irmaq_magic/magic_measurements.txt All records stored in ./data_files/irmaq_magic/magic_measurements.txt
In [144]:
!irmaq_magic.py -f data_files/irmaq_magic/magic_measurements.txt -fmt png -sav -DM 2
U1359A 1 saved in U1359A_LP-IRM.png
In [145]:
Image(filename='U1359A_LP-IRM.png')
Out[145]:
jr6_jr6_magic.py¶
In [146]:
!jr6_jr6_magic.py -f data_files/convert_2_magic/JR6_magic/AF.jr6
. adding measurement column to measurements table! -I- overwriting /Users/nebula/Python/PmagPy/measurements.txt -I- 655 records written to measurements file -I- overwriting /Users/nebula/Python/PmagPy/specimens.txt -I- 57 records written to specimens file -I- overwriting /Users/nebula/Python/PmagPy/samples.txt -I- 17 records written to samples file -I- overwriting /Users/nebula/Python/PmagPy/sites.txt -I- 10 records written to sites file -I- overwriting /Users/nebula/Python/PmagPy/locations.txt -I- 1 records written to locations file -I- overwriting /Users/nebula/Python/PmagPy/measurements.txt -I- 655 records written to measurements file
jr6_txt_magic.py¶
In [147]:
!jr6_txt_magic.py -f data_files/convert_2_magic/JR6_magic/AF.txt
-I- Using less strict decoding for /Users/nebula/Python/PmagPy/data_files/convert_2_magic/JR6_magic/AF.txt, output may have formatting errors adding measurement column to measurements table! -I- overwriting /Users/nebula/Python/PmagPy/measurements.txt -I- 655 records written to measurements file -I- overwriting /Users/nebula/Python/PmagPy/specimens.txt -I- 57 records written to specimens file -I- overwriting /Users/nebula/Python/PmagPy/samples.txt -I- 17 records written to samples file -I- overwriting /Users/nebula/Python/PmagPy/sites.txt -I- 10 records written to sites file -I- overwriting /Users/nebula/Python/PmagPy/locations.txt -I- 1 records written to locations file -I- overwriting /Users/nebula/Python/PmagPy/measurements.txt -I- 655 records written to measurements file
k15_magic.py¶
In [148]:
!k15_magic.py -WD data_files/k15_magic -spc 0 -f data_files/k15_s/k15_example.dat -loc "Troodos Ophiolite"
Using default arguments for: -F, -A, -ID, -Fsa, -Fsi, -Fa, -Fr, -ncn, -DM 8 records written to file /Users/nebula/Python/PmagPy/data_files/k15_magic/samples.txt 48 records written to file /Users/nebula/Python/PmagPy/data_files/k15_magic/specimens.txt 120 records written to file /Users/nebula/Python/PmagPy/data_files/k15_magic/measurements.txt Data saved to: /Users/nebula/Python/PmagPy/data_files/k15_magic/measurements.txt, /Users/nebula/Python/PmagPy/data_files/k15_magic/specimens.txt, /Users/nebula/Python/PmagPy/data_files/k15_magic/samples.txt
In [149]:
!k15_s.py -f data_files/k15_s/k15_example.dat
0.33146986 0.33413991 0.33439023 0.00075095 -0.00083439 -0.00016688 0.00008618 0.33335925 0.33335925 0.33328149 -0.00155521 -0.00132193 0.00116641 0.00017193 0.33097634 0.33573565 0.33328801 0.00163177 0.00013598 0.00000000 0.00018131 0.33150029 0.33465420 0.33384551 -0.00064696 -0.00056609 -0.00048522 0.00014863 0.33121986 0.33521197 0.33356816 -0.00046966 -0.00046966 -0.00086104 0.00018376 0.33179570 0.33405602 0.33414828 -0.00009226 -0.00004613 -0.00027677 0.00010474 0.33243163 0.33439898 0.33316939 0.00106564 0.00032789 0.00000000 0.00017624 0.33175478 0.33512715 0.33311808 0.00078928 0.00000000 -0.00007175 0.00011116
kly4s_magic.py¶
In [150]:
!kly4s_magic.py -f data_files/convert_2_magic/kly4s_magic/KLY4S_magic_example.dat
Using default arguments for: -F, -A, -WD, -ID, -Fsa, -Fsi, -fad, -fsa, -fsp, -Fsp, -Fa, -ocn, -usr, -loc, -ins, -spc, -ncn, -DM anisotropy data added to specimen records 52 records written to file ./specimens.txt specimen information written to new file: ./specimens.txt 26 records written to file ./measurements.txt measurement data saved in ./measurements.txt 26 records written to file samples.txt 26 records written to file sites.txt
ldeo_magic.py¶
In [151]:
!ldeo_magic.py -f data_files/convert_2_magic/LDEO_magic/ldeo_magic_example.dat
adding measurement column to measurements table! -I- overwriting /Users/nebula/Python/PmagPy/measurements.txt -I- 127 records written to measurements file -I- overwriting /Users/nebula/Python/PmagPy/specimens.txt -I- 127 records written to specimens file -I- overwriting /Users/nebula/Python/PmagPy/samples.txt -I- 127 records written to samples file -I- overwriting /Users/nebula/Python/PmagPy/sites.txt -I- 124 records written to sites file -I- overwriting /Users/nebula/Python/PmagPy/locations.txt -I- 1 records written to locations file -I- overwriting /Users/nebula/Python/PmagPy/measurements.txt -I- 127 records written to measurements file
livdb_magic.py¶
In [152]:
# is a GUI and doesn't work in a notebook
# see _PmagPy-nb.ipynb for how to use convert.livdb
lnp_magic.py¶
In [153]:
!lnp_magic.py -f data_files/lnp_magic/specimens.txt -crd g -fmt png -sav -fsa data_files/lnp_magic/samples.txt
sv01 Site lines planes kappa a95 dec inc sv01 0 5 286 6.6 179.0 -54.3 4.9948 % tilt correction: 0 1 saved in sv01_g_eqarea.png sv02 Site lines planes kappa a95 dec inc sv02 4 2 113 6.6 338.8 38.6 5.9647 % tilt correction: 0 1 saved in sv02_g_eqarea.png sv03 Site lines planes kappa a95 dec inc sv03 5 3 108 5.5 344.0 53.1 7.9491 % tilt correction: 0 1 saved in sv03_g_eqarea.png sv04 Site lines planes kappa a95 dec inc sv04 5 0 286 4.5 346.9 50.7 4.9860 % tilt correction: 0 1 saved in sv04_g_eqarea.png sv05 Site lines planes kappa a95 dec inc sv05 5 3 165 4.5 164.1 -51.3 7.9667 % tilt correction: 0 1 saved in sv05_g_eqarea.png sv06 Site lines planes kappa a95 dec inc sv06 2 3 81 9.7 351.4 -32.0 4.9691 % tilt correction: 0 1 saved in sv06_g_eqarea.png sv07 Site lines planes kappa a95 dec inc sv07 7 1 318 3.1 350.3 61.8 7.9796 % tilt correction: 0 1 saved in sv07_g_eqarea.png sv08 Site lines planes kappa a95 dec inc sv08 7 0 151 4.9 165.7 -46.1 6.9603 % tilt correction: 0 1 saved in sv08_g_eqarea.png sv09 Site lines planes kappa a95 dec inc sv09 5 0 10 26.2 251.6 -57.1 4.5791 % tilt correction: 0 1 saved in sv09_g_eqarea.png sv10 Site lines planes kappa a95 dec inc sv10 0 5 65 13.9 188.9 -47.3 4.9770 % tilt correction: 0 1 saved in sv10_g_eqarea.png sv11 Site lines planes kappa a95 dec inc sv11 2 2 116 10.0 193.6 -43.2 3.9827 % tilt correction: 0 1 saved in sv11_g_eqarea.png sv12 skipping site - not enough data with specified coordinate system sv13 skipping site - not enough data with specified coordinate system sv15 Site lines planes kappa a95 dec inc sv15 6 0 175 5.1 352.8 25.5 5.9714 % tilt correction: 0 1 saved in sv15_g_eqarea.png sv16 Site lines planes kappa a95 dec inc sv16 4 1 166 6.1 356.0 24.1 4.9789 % tilt correction: 0 1 saved in sv16_g_eqarea.png sv17 skipping site - not enough data with specified coordinate system sv18 Site lines planes kappa a95 dec inc sv18 5 0 704 2.9 192.8 -55.9 4.9943 % tilt correction: 0 1 saved in sv18_g_eqarea.png sv19 skipping site - not enough data with specified coordinate system sv20 skipping site - not enough data with specified coordinate system sv21 skipping site - not enough data with specified coordinate system sv22 skipping site - not enough data with specified coordinate system sv23 Site lines planes kappa a95 dec inc sv23 4 1 464 3.7 19.5 29.0 4.9925 % tilt correction: 0 1 saved in sv23_g_eqarea.png sv24 Site lines planes kappa a95 dec inc sv24 7 0 109 5.8 339.2 63.7 6.9452 % tilt correction: 0 1 saved in sv24_g_eqarea.png sv25 skipping site - not enough data with specified coordinate system sv26 Site lines planes kappa a95 dec inc sv26 4 2 109 6.7 159.0 -69.1 5.9633 % tilt correction: 0 1 saved in sv26_g_eqarea.png sv27 Site lines planes kappa a95 dec inc sv27 4 1 241 5.1 354.0 55.9 4.9854 % tilt correction: 0 1 saved in sv27_g_eqarea.png sv28 skipping site - not enough data with specified coordinate system sv29 skipping site - not enough data with specified coordinate system sv30 skipping site - not enough data with specified coordinate system sv31 Site lines planes kappa a95 dec inc sv31 5 0 394 3.9 12.7 46.2 4.9898 % tilt correction: 0 1 saved in sv31_g_eqarea.png sv32 Site lines planes kappa a95 dec inc sv32 5 0 384 3.9 342.9 60.3 4.9896 % tilt correction: 0 1 saved in sv32_g_eqarea.png sv50 Site lines planes kappa a95 dec inc sv50 2 1 1 180.0 266.8 -40.9 1.9606 % tilt correction: 0 1 saved in sv50_g_eqarea.png sv51 Site lines planes kappa a95 dec inc sv51 4 0 2 84.3 207.2 -39.4 2.6222 % tilt correction: 0 1 saved in sv51_g_eqarea.png sv52 Site lines planes kappa a95 dec inc sv52 4 0 199 6.5 182.7 -54.9 3.9850 % tilt correction: 0 1 saved in sv52_g_eqarea.png sv53 Site lines planes kappa a95 dec inc sv53 3 0 3 86.4 178.0 -26.5 2.3622 % tilt correction: 0 1 saved in sv53_g_eqarea.png sv54 Site lines planes kappa a95 dec inc sv54 5 0 30 14.1 175.3 -46.7 4.8684 % tilt correction: 0 1 saved in sv54_g_eqarea.png sv55 Site lines planes kappa a95 dec inc sv55 4 0 409 4.5 181.2 -45.0 3.9927 % tilt correction: 0 1 saved in sv55_g_eqarea.png sv56 Site lines planes kappa a95 dec inc sv56 4 1 3 50.1 171.1 -68.8 3.9527 % tilt correction: 0 1 saved in sv56_g_eqarea.png sv57 Site lines planes kappa a95 dec inc sv57 5 0 20 17.8 199.6 -46.4 4.7950 % tilt correction: 0 1 saved in sv57_g_eqarea.png sv58 Site lines planes kappa a95 dec inc sv58 4 0 570 3.9 182.0 -62.3 3.9947 % tilt correction: 0 1 saved in sv58_g_eqarea.png sv59 Site lines planes kappa a95 dec inc sv59 4 0 1128 2.7 178.8 -51.3 3.9973 % tilt correction: 0 1 saved in sv59_g_eqarea.png sv60 skipping site - not enough data with specified coordinate system sv61 Site lines planes kappa a95 dec inc sv61 3 1 7 39.5 2.9 77.8 3.6408 % tilt correction: 0 1 saved in sv61_g_eqarea.png sv62 Site lines planes kappa a95 dec inc sv62 0 3 308 38.3 133.7 -52.3 2.9984 % tilt correction: 0 1 saved in sv62_g_eqarea.png sv63 Site lines planes kappa a95 dec inc sv63 4 0 489 4.2 351.5 45.1 3.9939 % tilt correction: 0 1 saved in sv63_g_eqarea.png sv64 Site lines planes kappa a95 dec inc sv64 6 0 172 5.1 170.4 -51.6 5.9710 % tilt correction: 0 1 saved in sv64_g_eqarea.png sv65 Site lines planes kappa a95 dec inc sv65 4 1 90 8.3 31.0 54.4 4.9611 % tilt correction: 0 1 saved in sv65_g_eqarea.png
In [154]:
Image(filename='sv01_g_eqarea.png')
Out[154]:
In [155]:
os.remove('sv01_g_eqarea.png')
In [156]:
!download_magic.py -WD data_files/lnp_magic -ID data_files/lnp_magic -f zmab0001193tmp02.txt
working on: 'er_locations\r' 1 records written to file data_files/lnp_magic/er_locations.txt data put in data_files/lnp_magic/er_locations.txt working on: 'er_sites\r' 47 records written to file data_files/lnp_magic/er_sites.txt data put in data_files/lnp_magic/er_sites.txt working on: 'er_samples\r' 521 records written to file data_files/lnp_magic/er_samples.txt data put in data_files/lnp_magic/er_samples.txt working on: 'er_specimens\r' 306 records written to file data_files/lnp_magic/er_specimens.txt data put in data_files/lnp_magic/er_specimens.txt working on: 'er_ages\r' 15 records written to file data_files/lnp_magic/er_ages.txt data put in data_files/lnp_magic/er_ages.txt working on: 'er_citations' 11 records written to file data_files/lnp_magic/er_citations.txt er_citations data put in data_files/lnp_magic/er_citations.txt working on: 'magic_measurements\r' 4142 records written to file data_files/lnp_magic/magic_measurements.txt data put in data_files/lnp_magic/magic_measurements.txt working on: 'pmag_specimens\r' 196 records written to file data_files/lnp_magic/pmag_specimens.txt data put in data_files/lnp_magic/pmag_specimens.txt working on: 'pmag_samples\r' 189 records written to file data_files/lnp_magic/pmag_samples.txt data put in data_files/lnp_magic/pmag_samples.txt working on: 'pmag_sites\r' 35 records written to file data_files/lnp_magic/pmag_sites.txt data put in data_files/lnp_magic/pmag_sites.txt working on: 'pmag_results\r' 17 records written to file data_files/lnp_magic/pmag_results.txt data put in data_files/lnp_magic/pmag_results.txt working on: 'pmag_criteria\r' 7 records written to file data_files/lnp_magic/pmag_criteria.txt data put in data_files/lnp_magic/pmag_criteria.txt working on: 'magic_methods\r' 24 records written to file data_files/lnp_magic/magic_methods.txt data put in data_files/lnp_magic/magic_methods.txt
In [157]:
!lnp_magic.py -f data_files/lnp_magic/pmag_specimens.txt -crd g -fmt png -sav -DM 2
sv01 Site lines planes kappa a95 dec inc sv01 0 5 286 6.6 179.0 -54.3 4.9948 % tilt correction: 0 1 saved in sv01_g_eqarea.png sv02 Site lines planes kappa a95 dec inc sv02 4 2 113 6.6 338.8 38.6 5.9647 % tilt correction: 0 1 saved in sv02_g_eqarea.png sv03 Site lines planes kappa a95 dec inc sv03 5 3 108 5.5 344.0 53.1 7.9491 % tilt correction: 0 1 saved in sv03_g_eqarea.png sv04 Site lines planes kappa a95 dec inc sv04 5 0 286 4.5 346.9 50.7 4.9860 % tilt correction: 0 1 saved in sv04_g_eqarea.png sv05 Site lines planes kappa a95 dec inc sv05 5 3 165 4.5 164.1 -51.3 7.9667 % tilt correction: 0 1 saved in sv05_g_eqarea.png sv06 Site lines planes kappa a95 dec inc sv06 2 3 81 9.7 351.4 -32.0 4.9691 % tilt correction: 0 1 saved in sv06_g_eqarea.png sv07 Site lines planes kappa a95 dec inc sv07 7 1 318 3.1 350.3 61.8 7.9796 % tilt correction: 0 1 saved in sv07_g_eqarea.png sv08 Site lines planes kappa a95 dec inc sv08 7 0 151 4.9 165.7 -46.1 6.9603 % tilt correction: 0 1 saved in sv08_g_eqarea.png sv09 Site lines planes kappa a95 dec inc sv09 5 0 10 26.2 251.6 -57.1 4.5791 % tilt correction: 0 1 saved in sv09_g_eqarea.png sv10 Site lines planes kappa a95 dec inc sv10 0 5 65 13.9 188.9 -47.3 4.9770 % tilt correction: 0 1 saved in sv10_g_eqarea.png sv11 Site lines planes kappa a95 dec inc sv11 2 2 116 10.0 193.6 -43.2 3.9827 % tilt correction: 0 1 saved in sv11_g_eqarea.png sv12 skipping site - not enough data with specified coordinate system sv13 skipping site - not enough data with specified coordinate system sv15 Site lines planes kappa a95 dec inc sv15 6 0 175 5.1 352.8 25.5 5.9714 % tilt correction: 0 1 saved in sv15_g_eqarea.png sv16 Site lines planes kappa a95 dec inc sv16 4 1 166 6.1 356.0 24.1 4.9789 % tilt correction: 0 1 saved in sv16_g_eqarea.png sv17 skipping site - not enough data with specified coordinate system sv18 Site lines planes kappa a95 dec inc sv18 5 0 704 2.9 192.8 -55.9 4.9943 % tilt correction: 0 1 saved in sv18_g_eqarea.png sv19 skipping site - not enough data with specified coordinate system sv20 skipping site - not enough data with specified coordinate system sv21 skipping site - not enough data with specified coordinate system sv22 skipping site - not enough data with specified coordinate system sv23 Site lines planes kappa a95 dec inc sv23 4 1 464 3.7 19.5 29.0 4.9925 % tilt correction: 0 1 saved in sv23_g_eqarea.png sv24 Site lines planes kappa a95 dec inc sv24 7 0 109 5.8 339.2 63.7 6.9452 % tilt correction: 0 1 saved in sv24_g_eqarea.png sv25 skipping site - not enough data with specified coordinate system sv26 Site lines planes kappa a95 dec inc sv26 4 2 109 6.7 159.0 -69.1 5.9633 % tilt correction: 0 1 saved in sv26_g_eqarea.png sv27 Site lines planes kappa a95 dec inc sv27 4 1 241 5.1 354.0 55.9 4.9854 % tilt correction: 0 1 saved in sv27_g_eqarea.png sv28 skipping site - not enough data with specified coordinate system sv30 skipping site - not enough data with specified coordinate system sv31 Site lines planes kappa a95 dec inc sv31 5 0 394 3.9 12.7 46.2 4.9898 % tilt correction: 0 1 saved in sv31_g_eqarea.png sv32 Site lines planes kappa a95 dec inc sv32 5 0 384 3.9 342.9 60.3 4.9896 % tilt correction: 0 1 saved in sv32_g_eqarea.png sv50 Site lines planes kappa a95 dec inc sv50 2 1 1 180.0 266.8 -40.9 1.9606 % tilt correction: 0 1 saved in sv50_g_eqarea.png sv51 Site lines planes kappa a95 dec inc sv51 4 0 2 84.3 207.2 -39.4 2.6222 % tilt correction: 0 1 saved in sv51_g_eqarea.png sv52 Site lines planes kappa a95 dec inc sv52 4 0 199 6.5 182.7 -54.9 3.9850 % tilt correction: 0 1 saved in sv52_g_eqarea.png sv53 Site lines planes kappa a95 dec inc sv53 3 0 3 86.4 178.0 -26.5 2.3622 % tilt correction: 0 1 saved in sv53_g_eqarea.png sv54 Site lines planes kappa a95 dec inc sv54 5 0 30 14.1 175.3 -46.7 4.8684 % tilt correction: 0 1 saved in sv54_g_eqarea.png sv55 Site lines planes kappa a95 dec inc sv55 4 0 409 4.5 181.2 -45.0 3.9927 % tilt correction: 0 1 saved in sv55_g_eqarea.png sv56 Site lines planes kappa a95 dec inc sv56 4 1 3 50.1 171.1 -68.8 3.9527 % tilt correction: 0 1 saved in sv56_g_eqarea.png sv57 Site lines planes kappa a95 dec inc sv57 5 0 20 17.8 199.6 -46.4 4.7950 % tilt correction: 0 1 saved in sv57_g_eqarea.png sv58 Site lines planes kappa a95 dec inc sv58 4 0 570 3.9 182.0 -62.3 3.9947 % tilt correction: 0 1 saved in sv58_g_eqarea.png sv59 Site lines planes kappa a95 dec inc sv59 4 0 1128 2.7 178.8 -51.3 3.9973 % tilt correction: 0 1 saved in sv59_g_eqarea.png sv60 skipping site - not enough data with specified coordinate system sv61 Site lines planes kappa a95 dec inc sv61 3 1 7 39.5 2.9 77.8 3.6408 % tilt correction: 0 1 saved in sv61_g_eqarea.png sv62 Site lines planes kappa a95 dec inc sv62 0 3 308 38.3 133.7 -52.3 2.9984 % tilt correction: 0 1 saved in sv62_g_eqarea.png sv63 Site lines planes kappa a95 dec inc sv63 4 0 489 4.2 351.5 45.1 3.9939 % tilt correction: 0 1 saved in sv63_g_eqarea.png sv64 Site lines planes kappa a95 dec inc sv64 6 0 172 5.1 170.4 -51.6 5.9710 % tilt correction: 0 1 saved in sv64_g_eqarea.png sv65 Site lines planes kappa a95 dec inc sv65 4 1 90 8.3 31.0 54.4 4.9611 % tilt correction: 0 1 saved in sv65_g_eqarea.png
In [158]:
Image(filename='sv01_g_eqarea.png')
Out[158]:
lowes.py doesn't work from within a notebook. yet.
lowrie.py¶
In [159]:
!lowrie.py -f data_files/lowrie/lowrie_example.dat -fmt png -sav
-I- Using less strict decoding for data_files/lowrie/lowrie_example.dat, output may have formatting errors 318-U1359A-002H-1-W-109 1 saved in lowrie__318-U1359A-002H-1-W-109_.png 318-U1359A-002H-4-W-65 1 saved in lowrie__318-U1359A-002H-4-W-65_.png 318-U1359A-002H-6-W-7 1 saved in lowrie__318-U1359A-002H-6-W-7_.png 318-U1359A-003H-2-W-37 1 saved in lowrie__318-U1359A-003H-2-W-37_.png 318-U1359A-003H-6-W-66 1 saved in lowrie__318-U1359A-003H-6-W-66_.png 318-U1359A-004H-2-W-18 1 saved in lowrie__318-U1359A-004H-2-W-18_.png 318-U1359A-004H-2-W-44 1 saved in lowrie__318-U1359A-004H-2-W-44_.png 318-U1359A-004H-2-W-130 1 saved in lowrie__318-U1359A-004H-2-W-130_.png 318-U1359A-004H-3-W-100 1 saved in lowrie__318-U1359A-004H-3-W-100_.png 318-U1359A-004H-3-W-145 1 saved in lowrie__318-U1359A-004H-3-W-145_.png 318-U1359A-004H-4-W-102 1 saved in lowrie__318-U1359A-004H-4-W-102_.png 318-U1359A-004H-4-W-120 1 saved in lowrie__318-U1359A-004H-4-W-120_.png 318-U1359A-004H-5-W-139 1 saved in lowrie__318-U1359A-004H-5-W-139_.png 318-U1359A-006H-2-W-95 1 saved in lowrie__318-U1359A-006H-2-W-95_.png 318-U1359A-006H-6-W-22 1 saved in lowrie__318-U1359A-006H-6-W-22_.png 318-U1359A-007H-1-W-54 1 saved in lowrie__318-U1359A-007H-1-W-54_.png 318-U1359A-007H-2-W-125 1 saved in lowrie__318-U1359A-007H-2-W-125_.png 318-U1359A-007H-3-W-46 1 saved in lowrie__318-U1359A-007H-3-W-46_.png 318-U1359A-009H-6-W-31 1 saved in lowrie__318-U1359A-009H-6-W-31_.png 318-U1359A-010H-2-W-73 1 saved in lowrie__318-U1359A-010H-2-W-73_.png 318-U1359A-010H-4-W-37 1 saved in lowrie__318-U1359A-010H-4-W-37_.png 318-U1359A-010H-6-W-65 1 saved in lowrie__318-U1359A-010H-6-W-65_.png 318-U1359A-011H-3-W-70 1 saved in lowrie__318-U1359A-011H-3-W-70_.png 318-U1359A-012H-1-W-104 1 saved in lowrie__318-U1359A-012H-1-W-104_.png 318-U1359A-012H-5-W-70 1 saved in lowrie__318-U1359A-012H-5-W-70_.png 318-U1359A-013H-4-W-89 1 saved in lowrie__318-U1359A-013H-4-W-89_.png 318-U1359A-013H-6-W-88 1 saved in lowrie__318-U1359A-013H-6-W-88_.png 318-U1359A-014H-2-W-60 1 saved in lowrie__318-U1359A-014H-2-W-60_.png 318-U1359A-014H-6-W-13 1 saved in lowrie__318-U1359A-014H-6-W-13_.png 318-U1359A-015H-2-W-56 1 saved in lowrie__318-U1359A-015H-2-W-56_.png 318-U1359A-015H-4-W-83 1 saved in lowrie__318-U1359A-015H-4-W-83_.png 318-U1359A-018X-6-W-57 1 saved in lowrie__318-U1359A-018X-6-W-57_.png 318-U1359A-022X-2-W-95 1 saved in lowrie__318-U1359A-022X-2-W-95_.png
In [160]:
Image(filename='lowrie__318-U1359A-002H-1-W-109_.png')
Out[160]:
lowrie_magic.py¶
In [161]:
!lowrie_magic.py -f data_files/lowrie_magic/measurements.txt -fmt png -sav
/Users/nebula/Python/PmagPy/data_files/lowrie_magic/measurements.txt 318-U1361A-007H-1-W-100a 1 saved in lowrie__318-U1361A-007H-1-W-100a_.png 318-U1361A-007H-3-W-135a 1 saved in lowrie__318-U1361A-007H-3-W-135a_.png 318-U1361A-007H-4-W-42a 1 saved in lowrie__318-U1361A-007H-4-W-42a_.png 318-U1361A-007H-7-W-20a 1 saved in lowrie__318-U1361A-007H-7-W-20a_.png 318-U1361A-008H-1-W-73a 1 saved in lowrie__318-U1361A-008H-1-W-73a_.png 318-U1361A-008H-3-W-102a 1 saved in lowrie__318-U1361A-008H-3-W-102a_.png 318-U1361A-008H-4-W-78a 1 saved in lowrie__318-U1361A-008H-4-W-78a_.png 318-U1361A-008H-5-W-67a 1 saved in lowrie__318-U1361A-008H-5-W-67a_.png 318-U1361A-008H-6-W-83a 1 saved in lowrie__318-U1361A-008H-6-W-83a_.png 318-U1361A-008H-7-W-28a 1 saved in lowrie__318-U1361A-008H-7-W-28a_.png 318-U1361A-009H-1-W-94a 1 saved in lowrie__318-U1361A-009H-1-W-94a_.png 318-U1361A-009H-2-W-77a 1 saved in lowrie__318-U1361A-009H-2-W-77a_.png 318-U1361A-009H-3-W-63a 1 saved in lowrie__318-U1361A-009H-3-W-63a_.png 318-U1361A-009H-6-W-51a 1 saved in lowrie__318-U1361A-009H-6-W-51a_.png 318-U1361A-009H-7-W-53a 1 saved in lowrie__318-U1361A-009H-7-W-53a_.png 318-U1361A-010H-1-W-86a 1 saved in lowrie__318-U1361A-010H-1-W-86a_.png 318-U1361A-010H-2-W-88a 1 saved in lowrie__318-U1361A-010H-2-W-88a_.png 318-U1361A-010H-3-W-51a 1 saved in lowrie__318-U1361A-010H-3-W-51a_.png 318-U1361A-010H-4-W-81a 1 saved in lowrie__318-U1361A-010H-4-W-81a_.png 318-U1361A-010H-5-W-58a 1 saved in lowrie__318-U1361A-010H-5-W-58a_.png 318-U1361A-010H-6-W-16a 1 saved in lowrie__318-U1361A-010H-6-W-16a_.png 318-U1361A-010H-7-W-17a 1 saved in lowrie__318-U1361A-010H-7-W-17a_.png 318-U1361A-011H-1-W-75a 1 saved in lowrie__318-U1361A-011H-1-W-75a_.png 318-U1361A-011H-2-W-95a 1 saved in lowrie__318-U1361A-011H-2-W-95a_.png 318-U1361A-011H-3-W-82a 1 saved in lowrie__318-U1361A-011H-3-W-82a_.png 318-U1361A-011H-4-W-99a 1 saved in lowrie__318-U1361A-011H-4-W-99a_.png 318-U1361A-011H-5-W-92a 1 saved in lowrie__318-U1361A-011H-5-W-92a_.png 318-U1361A-011H-6-W-77a 1 saved in lowrie__318-U1361A-011H-6-W-77a_.png 318-U1361A-012H-4-W-91a 1 saved in lowrie__318-U1361A-012H-4-W-91a_.png 318-U1361A-012H-5-W-122a 1 saved in lowrie__318-U1361A-012H-5-W-122a_.png 318-U1361A-012H-7-W-43a 1 saved in lowrie__318-U1361A-012H-7-W-43a_.png 318-U1361A-013H-1-W-102a 1 saved in lowrie__318-U1361A-013H-1-W-102a_.png 318-U1361A-013H-2-W-70a 1 saved in lowrie__318-U1361A-013H-2-W-70a_.png 318-U1361A-013H-4-W-118a 1 saved in lowrie__318-U1361A-013H-4-W-118a_.png 318-U1361A-013H-5-W-95a 1 saved in lowrie__318-U1361A-013H-5-W-95a_.png 318-U1361A-013H-6-W-89a 1 saved in lowrie__318-U1361A-013H-6-W-89a_.png 318-U1361A-014H-2-W-87a 1 saved in lowrie__318-U1361A-014H-2-W-87a_.png 318-U1361A-014H-3-W-115a 1 saved in lowrie__318-U1361A-014H-3-W-115a_.png 318-U1361A-014H-4-W-110a 1 saved in lowrie__318-U1361A-014H-4-W-110a_.png 318-U1361A-014H-5-W-113a 1 saved in lowrie__318-U1361A-014H-5-W-113a_.png 318-U1361A-014H-6-W-88a 1 saved in lowrie__318-U1361A-014H-6-W-88a_.png 318-U1361A-015H-1-W-110a 1 saved in lowrie__318-U1361A-015H-1-W-110a_.png 318-U1361A-015H-2-W-59a 1 saved in lowrie__318-U1361A-015H-2-W-59a_.png 318-U1361A-015H-3-W-51a 1 saved in lowrie__318-U1361A-015H-3-W-51a_.png 318-U1361A-015H-4-W-58a 1 saved in lowrie__318-U1361A-015H-4-W-58a_.png 318-U1361A-015H-6-W-125a 1 saved in lowrie__318-U1361A-015H-6-W-125a_.png 318-U1361A-016H-1-W-60a 1 saved in lowrie__318-U1361A-016H-1-W-60a_.png 318-U1361A-016H-3-W-60a 1 saved in lowrie__318-U1361A-016H-3-W-60a_.png 318-U1361A-016H-5-W-60a 1 saved in lowrie__318-U1361A-016H-5-W-60a_.png 318-U1361A-017X-1-W-58a 1 saved in lowrie__318-U1361A-017X-1-W-58a_.png 318-U1361A-017X-2-W-58a 1 saved in lowrie__318-U1361A-017X-2-W-58a_.png 318-U1361A-017X-4-W-58a 1 saved in lowrie__318-U1361A-017X-4-W-58a_.png 318-U1361A-017X-6-W-58a 1 saved in lowrie__318-U1361A-017X-6-W-58a_.png
In [162]:
Image("lowrie__318-U1361A-008H-6-W-83a_.png")
Out[162]:
In [163]:
!lowrie_magic.py -f data_files/lowrie_magic/lowrie_magic_example.dat -fmt png -sav -DM 2
/Users/nebula/Python/PmagPy/data_files/lowrie_magic/lowrie_magic_example.dat 318-U1359A-002H-1-W-109 1 saved in lowrie__318-U1359A-002H-1-W-109_.png 318-U1359A-002H-4-W-65 1 saved in lowrie__318-U1359A-002H-4-W-65_.png 318-U1359A-002H-6-W-7 1 saved in lowrie__318-U1359A-002H-6-W-7_.png 318-U1359A-003H-2-W-37 1 saved in lowrie__318-U1359A-003H-2-W-37_.png 318-U1359A-003H-6-W-66 1 saved in lowrie__318-U1359A-003H-6-W-66_.png 318-U1359A-004H-2-W-130 1 saved in lowrie__318-U1359A-004H-2-W-130_.png 318-U1359A-004H-2-W-18 1 saved in lowrie__318-U1359A-004H-2-W-18_.png 318-U1359A-004H-2-W-44 1 saved in lowrie__318-U1359A-004H-2-W-44_.png 318-U1359A-004H-3-W-100 1 saved in lowrie__318-U1359A-004H-3-W-100_.png 318-U1359A-004H-3-W-145 1 saved in lowrie__318-U1359A-004H-3-W-145_.png 318-U1359A-004H-4-W-102 1 saved in lowrie__318-U1359A-004H-4-W-102_.png 318-U1359A-004H-4-W-120 1 saved in lowrie__318-U1359A-004H-4-W-120_.png 318-U1359A-004H-5-W-139 1 saved in lowrie__318-U1359A-004H-5-W-139_.png 318-U1359A-006H-2-W-95 1 saved in lowrie__318-U1359A-006H-2-W-95_.png 318-U1359A-006H-6-W-22 1 saved in lowrie__318-U1359A-006H-6-W-22_.png 318-U1359A-007H-1-W-54 1 saved in lowrie__318-U1359A-007H-1-W-54_.png 318-U1359A-007H-2-W-125 1 saved in lowrie__318-U1359A-007H-2-W-125_.png 318-U1359A-007H-3-W-46 1 saved in lowrie__318-U1359A-007H-3-W-46_.png 318-U1359A-009H-6-W-31 1 saved in lowrie__318-U1359A-009H-6-W-31_.png 318-U1359A-010H-2-W-73 1 saved in lowrie__318-U1359A-010H-2-W-73_.png 318-U1359A-010H-4-W-37 1 saved in lowrie__318-U1359A-010H-4-W-37_.png 318-U1359A-010H-6-W-65 1 saved in lowrie__318-U1359A-010H-6-W-65_.png 318-U1359A-011H-3-W-70 1 saved in lowrie__318-U1359A-011H-3-W-70_.png 318-U1359A-012H-1-W-104 1 saved in lowrie__318-U1359A-012H-1-W-104_.png 318-U1359A-012H-5-W-70 1 saved in lowrie__318-U1359A-012H-5-W-70_.png 318-U1359A-013H-4-W-89 1 saved in lowrie__318-U1359A-013H-4-W-89_.png 318-U1359A-013H-6-W-88 1 saved in lowrie__318-U1359A-013H-6-W-88_.png 318-U1359A-014H-2-W-60 1 saved in lowrie__318-U1359A-014H-2-W-60_.png 318-U1359A-014H-6-W-13 1 saved in lowrie__318-U1359A-014H-6-W-13_.png 318-U1359A-015H-2-W-56 1 saved in lowrie__318-U1359A-015H-2-W-56_.png 318-U1359A-015H-4-W-83 1 saved in lowrie__318-U1359A-015H-4-W-83_.png 318-U1359A-018X-6-W-57 1 saved in lowrie__318-U1359A-018X-6-W-57_.png 318-U1359A-022X-2-W-95 1 saved in lowrie__318-U1359A-022X-2-W-95_.png
In [164]:
Image(filename='lowrie__318-U1359A-002H-1-W-109_.png')
Out[164]:
magic_select.py¶
In [165]:
!magic_select.py -f data_files/magic_select/pmag_specimens.txt \
-key magic_method_codes LP-DIR-AF has -F data_files/magic_select/AF_specimens.txt
76 records written to file ./data_files/magic_select/AF_specimens.txt
mini_magic.py¶
In [166]:
!mini_magic.py -WD data_files/convert_2_magic/mini_magic -f Peru_rev1.txt
33 records written to file /Users/nebula/Python/PmagPy/data_files/convert_2_magic/mini_magic/measurements.txt
J-99-2-1
No data for dir_csd
J-99-2-1
No data for meas_n_orient
J-99-2-2
No data for dir_csd
J-99-2-2
No data for meas_n_orient
J-99-2-3
No data for dir_csd
J-99-2-3
No data for meas_n_orient
J-99-3-1
No data for dir_csd
J-99-3-1
No data for meas_n_orient
J-99-3-3
No data for dir_csd
J-99-3-3
No data for meas_n_orient
J-99-4-2
No data for dir_csd
J-99-4-2
No data for meas_n_orient
J-99-4-4
No data for dir_csd
J-99-4-4
No data for meas_n_orient
-W- You are missing the 'treat_step_num' column in your measurements file
This may cause strange behavior in the analysis GUIs
adding measurement column to measurements table!
-I- overwriting /Users/nebula/Python/PmagPy/measurements.txt
-I- 33 records written to measurements file
-I- writing specimens records to /Users/nebula/Python/PmagPy/data_files/convert_2_magic/mini_magic/specimens.txt
-I- 33 records written to specimens file
-I- writing samples records to /Users/nebula/Python/PmagPy/data_files/convert_2_magic/mini_magic/samples.txt
-I- 25 records written to samples file
-I- writing sites records to /Users/nebula/Python/PmagPy/data_files/convert_2_magic/mini_magic/sites.txt
-I- 7 records written to sites file
-I- writing locations records to /Users/nebula/Python/PmagPy/data_files/convert_2_magic/mini_magic/locations.txt
-I- 3 records written to locations file
-I- overwriting /Users/nebula/Python/PmagPy/data_files/convert_2_magic/mini_magic/measurements.txt
-I- 33 records written to measurements file
-I- overwriting /Users/nebula/Python/PmagPy/data_files/convert_2_magic/mini_magic/specimens.txt
-I- 33 records written to specimens file
-I- overwriting /Users/nebula/Python/PmagPy/data_files/convert_2_magic/mini_magic/samples.txt
-I- 25 records written to samples file
-I- overwriting /Users/nebula/Python/PmagPy/data_files/convert_2_magic/mini_magic/sites.txt
-I- 7 records written to sites file
-I- overwriting /Users/nebula/Python/PmagPy/data_files/convert_2_magic/mini_magic/locations.txt
-I- 3 records written to locations file
results put in /Users/nebula/Python/PmagPy/data_files/convert_2_magic/mini_magic/measurements.txt
mst_magic.py¶
In [167]:
!mst_magic.py -f data_files/convert_2_magic/MsT_magic/curie_example.dat -spn specimen_name
No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name 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specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no 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location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no 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No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no 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specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no 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location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no 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No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name No site name found for: specimen_name specimen_name no location name for: specimen_name 560 records written to file /Users/nebula/Python/PmagPy/measurements.txt results put in /Users/nebula/Python/PmagPy/measurements.txt -I- overwriting /Users/nebula/Python/PmagPy/samples.txt -I- 127 records written to samples file -I- overwriting /Users/nebula/Python/PmagPy/sites.txt -I- 124 records written to sites file -I- overwriting /Users/nebula/Python/PmagPy/locations.txt -I- 1 records written to locations file
mk_redo.py¶
In [168]:
!mk_redo.py -WD data_files/mk_redo
Redo files saved to: /Users/nebula/Python/PmagPy/data_files/mk_redo/zeq_redo /Users/nebula/Python/PmagPy/data_files/mk_redo/thellier_redo
In [169]:
!cat data_files/mk_redo/thellier_redo | head
sr01a1 573 823 sr01a2 573 848 sr01c2 673 823 sr01d1 373 823 sr01i1 373 773 sr03a1 373 673 sr03b1 373 673 sr03c1 423 673 sr03e1 423 673 sr09f1 373 573
In [170]:
!cat data_files/mk_redo/zeq_redo | head
sr01a1 DE-BFL 473 823 A sr01a2 DE-BFL 473 848 A sr01c2 DE-BFL 473 823 A sr01d1 DE-BFL 373 798 A sr01e2 DE-BFL 0.01 0.18 A sr01f2 DE-BFL 423 923 A sr01g2 DE-BFL 0.01 0.16 A sr01i1 DE-BFL 473 823 A sr03a1 DE-BFL 473 823 A sr03b1 DE-BFL 673 823 A
orientation_magic.py¶
In [171]:
try:
os.remove('data_files/orientation_magic/samples.txt')
except FileNotFoundError:
pass
!orientation_magic.py -WD data_files/orientation_magic -f orient_example.txt -gmt 13
!cat data_files/orientation_magic/samples.txt | head
Using default arguments for: -F, -A, -ID, -Fsa, -Fsi, -app, -ocn, -dcn, -BCN, -ncn, -mcd, -a, -DM setting location name to "" setting location name to "" saving data... 24 records written to file data_files/orientation_magic/samples.txt 2 records written to file data_files/orientation_magic/sites.txt Data saved in data_files/orientation_magic/samples.txt and data_files/orientation_magic/sites.txt tab samples azimuth azimuth_dec_correction bed_dip bed_dip_direction citations cooling_rate cooling_rate_corr cooling_rate_mcd description dip geologic_classes geologic_types height igsn lat lithologies location lon method_codes orientation_quality sample sample_alternatives scientists site texture timestamp 258.0 4 162.3 This study -38.0 -78.25435 McMurdo 163.72913 SO-MAG mc123a mc123 2004:1:15:16:58 48.3 150.3 4 162.3 This study Declination correction calculated from IGRF -38.0 -78.25435 McMurdo 163.72913 SO-CMD-NORTH mc123a mc123 2004:1:15:16:58 35.8 4 162.3 This study -38.0 -78.25435 McMurdo 163.72913 SO-SUN mc123a mc123 2004:1:15:16:58 242.0 4 This study -30.0 -78.25435 McMurdo 163.72913 SO-MAG mc123b mc123 32.3 150.3 4 This study Declination correction calculated from IGRF -30.0 -78.25435 McMurdo 163.72913 SO-CMD-NORTH mc123b mc123 18.2 4 This study -30.0 -78.25435 McMurdo 163.72913 SO-SUN mc123b mc123 266.0 4 This study -39.0 -78.25435 McMurdo 163.72913 SO-MAG mc123c mc123 56.3 150.3 4 This study Declination correction calculated from IGRF -39.0 -78.25435 McMurdo 163.72913 SO-CMD-NORTH mc123c mc123
pca.py¶
In [172]:
!pca.py -dir L 1 10 -f data_files/pca/pca_example.txt
eba24a DE-BFL 0 0.00 339.9 57.9 9.2830e-05 1 2.50 325.7 49.1 7.5820e-05 2 5.00 321.3 45.9 6.2920e-05 3 10.00 314.8 41.7 5.2090e-05 4 15.00 310.3 38.7 4.4550e-05 5 20.00 305.0 37.0 3.9540e-05 6 30.00 303.9 34.7 3.2570e-05 7 40.00 303.0 32.3 2.5670e-05 8 50.00 303.6 32.4 2.2520e-05 9 60.00 299.8 30.8 1.9820e-05 10 70.00 292.5 31.0 1.3890e-05 11 80.00 297.0 25.6 1.2570e-05 12 90.00 299.3 11.3 0.5030e-05 eba24a DE-BFL 10 2.50 70.00 8.8 334.9 51.5
pmd_magic.py¶
In [173]:
!pmd_magic.py -f data_files/convert_2_magic/PMD_magic/PMD/ss0207a.pmd
adding measurement column to measurements table! -I- overwriting /Users/nebula/Python/PmagPy/measurements.txt -I- 8 records written to measurements file -I- overwriting /Users/nebula/Python/PmagPy/specimens.txt -I- 1 records written to specimens file -I- overwriting /Users/nebula/Python/PmagPy/samples.txt -I- 1 records written to samples file -I- overwriting /Users/nebula/Python/PmagPy/sites.txt -I- 1 records written to sites file -I- overwriting /Users/nebula/Python/PmagPy/locations.txt -I- 1 records written to locations file -I- overwriting /Users/nebula/Python/PmagPy/measurements.txt -I- 8 records written to measurements file
plotxy.py¶
In [174]:
!plotxy.py -f data_files/plotXY/plotXY_example.txt -fmt png -sav
Figure saved as plotXY.png
In [175]:
Image(filename='plotXY.png')
Out[175]:
plot_cdf.py¶
In [176]:
!plot_cdf.py -f data_files/plot_cdf/gaussian.out -fmt png -sav
1 saved in CDF_.png
In [177]:
Image(filename='CDF_.png')
Out[177]:
plot_geomagia.py doesn't work on the command line - see _PmagPy_nb example.
plot_magmap.py¶
In [178]:
!plot_magmap.py -el B -fmt png -sav
Figure saved as: igrf2016.0.png
In [179]:
Image('igrf2016.0.png')
Out[179]:
plot_map_pts.py¶
In [180]:
!plot_map_pts.py -f data_files/plot_map_pts/uniform.out -B -R \
-prj ortho -eye 30 0 -etp -sym wo 10 -fmt png -sav
please wait to draw points 1 saved in map_pts.png
In [181]:
if basemap_present:
image = Image(filename='Map_PTS.png')
else:
image = None
image
Out[181]:
plotdi_a.py¶
In [182]:
!plotdi_a.py -f data_files/plotdi_a/plotdi_a_example.dat -fmt png -sav
1 saved in eq.png
In [183]:
Image(filename='eq.png')
Out[183]:
pmag_results_extract.py¶
In [184]:
!pmag_results_extract.py -WD data_files/pmag_results_extract -f pmag_results.txt
data saved in: /Users/nebula/Python/PmagPy/data_files/pmag_results_extract/Directions.txt /Users/nebula/Python/PmagPy/data_files/pmag_results_extract/Intensities.txt /Users/nebula/Python/PmagPy/data_files/pmag_results_extract/SiteNfo.txt
polemap_magic.py¶
In [185]:
!polemap_magic.py -WD data_files/polemap_magic -sav -fmt png
1 saved in Skaistgirys Carbonates_Cismon Section_Monte Raparo_POLE_map.png
In [186]:
if basemap_present:
image = Image(filename="Skaistgirys Carbonates_Cismon Section_Monte Raparo_POLE_map.png")
else:
image = None
image
Out[186]:
pt_rot.py¶
In [187]:
!awk '{print $1,$2}' data_files/pt_rot/pt_rot.input > data_files/pt_rot/lon_lat
!plot_map_pts.py -prj moll -f data_files/pt_rot/lon_lat -sym g^ 10 -R -B -eye 0 0 -fmt png -sav
please wait to draw points 1 saved in map_pts.png
In [188]:
if basemap_present:
image = Image(filename='Map_PTS.png')
else:
image = None
image
Out[188]:
In [189]:
!cat data_files/pt_rot/pt_rot.input
!pt_rot.py -f data_files/pt_rot/pt_rot.input > data_files/pt_rot/pt_rot.out
-84.7 39.1 nam 80 saf
In [190]:
!plot_map_pts.py -prj moll -f data_files/pt_rot/pt_rot.out -sym ro 10 -R -B -eye 0 0 -fmt png -sav
please wait to draw points 1 saved in map_pts.png
In [191]:
if basemap_present:
image = Image(filename='Map_PTS.png')
else:
image = None
image
Out[191]:
Something still weird about pt_rot.py (the -ff option).
In [192]:
!pt_rot.py -ff data_files/pt_rot/nam_180-200.txt data_files/pt_rot/nam_panA.frp > data_files/pt_rot/pt_rot_panA.out
In [193]:
!plot_map_pts.py -f data_files/pt_rot/pt_rot_panA.out -prj ortho -eye 60 90 -sym ro 10 -B -R -fmt png -sav
please wait to draw points 1 saved in map_pts.png
In [194]:
if basemap_present:
image = Image(filename='Map_PTS.png')
else:
image = None
image
Out[194]:
qqplot.py¶
In [195]:
!qqplot.py -f data_files/qqplot/gauss.out -fmt png -sav
1 saved in qq.png
In [196]:
Image(filename='qq.png')
Out[196]:
quick_hyst.py¶
In [197]:
!quick_hyst.py -WD data_files/3_0/McMurdo -spc mc04c-1 -fmt png
Image("McMurdo_mc04c_mc04c_mc04c-1_hyst.png")
['mc04c-1' 'mc113a1-1' 'mc117a2-1' 'mc120a2-1' 'mc129a1-1' 'mc164a2-1' 'mc205a1-1' 'mc217a2-1'] working on t: 273 1 saved in McMurdo_mc04c_mc04c_mc04c-1_hyst.png
Out[197]:
quick_hyst2.py¶
In [198]:
!quick_hyst2.py -f data_files/hysteresis_magic/hysteresis_magic_example.dat -fmt png -sav
verbose 0 working on t: 273 1 saved in IS06_IS06a_IS06a-1_hyst.png working on t: 273 1 saved in IS06_IS06a_IS06a-2_hyst.png working on t: 273 1 saved in IS06_IS06a_IS06a-3_hyst.png working on t: 273 1 saved in IS06_IS06a_IS06a-4_hyst.png working on t: 273 1 saved in IS06_IS06a_IS06a-5_hyst.png working on t: 273 1 saved in IS06_IS06a_IS06a-6_hyst.png working on t: 273 1 saved in IS06_IS06a_IS06a-8_hyst.png working on t: 273 1 saved in IS06_IS06a_IS06a-9_hyst.png
In [199]:
Image(filename='IS06_IS06a_IS06a-1_hyst.png')
Out[199]:
revtest.py¶
In [200]:
!revtest.py -f data_files/revtest/revtest_example.txt -fmt png -sav
doing first mode, be patient doing second mode, be patient 1 saved in REV_X.png 2 saved in REV_Y.png 3 saved in REV_Z.png
In [201]:
Image(filename='REV_X.png')
Out[201]:
In [202]:
Image(filename='REV_Y.png')
Out[202]:
In [203]:
Image(filename='REV_Z.png')
Out[203]:
revtest_magic.py¶
In [204]:
!revtest_magic.py -f data_files/revtest_magic/sites.txt -fmt png -sav -DM 3 -exc
doing first mode, be patient doing second mode, be patient 1 saved in REV_X.png 2 saved in REV_Y.png 3 saved in REV_Z.png
In [205]:
Image("Rev_Y.png")
Out[205]:
In [206]:
!revtest_magic.py -f data_files/revtest_magic/revtest_magic_example.txt -fmt png -sav -DM 2
doing first mode, be patient doing second mode, be patient 1 saved in REV_X.png 2 saved in REV_Y.png 3 saved in REV_Z.png
In [207]:
Image(filename='REV_X.png')
Out[207]:
s_eigs.py¶
In [208]:
!s_eigs.py -f data_files/s_eigs/s_eigs_example.dat
0.33127186 239.53 44.70 0.33351338 126.62 21.47 0.33521473 19.03 37.54 0.33177859 281.12 6.18 0.33218277 169.79 73.43 0.33603862 12.82 15.32 0.33046979 283.57 27.30 0.33328307 118.37 61.91 0.33624712 16.75 6.13 0.33123776 261.36 12.07 0.33377582 141.40 66.82 0.33498645 355.70 19.48 0.33085680 255.71 7.13 0.33379164 130.85 77.65 0.33535156 346.97 10.03 0.33175930 268.51 26.79 0.33405024 169.66 16.95 0.33419049 51.04 57.53 0.33194992 261.59 20.68 0.33313262 92.18 68.99 0.33491743 352.93 3.54 0.33157593 281.42 21.32 0.33312121 117.04 67.94 0.33530283 13.54 5.41
s_geo.py¶
In [209]:
!s_geo.py -f data_files/s_geo/s_geo_example.dat
0.33412680 0.33282733 0.33304587 -0.00015289 0.00124843 0.00135721 0.33556300 0.33198264 0.33245432 0.00087259 0.00024141 0.00096166 0.33584908 0.33140627 0.33274469 0.00131845 0.00118816 0.00002986 0.33479756 0.33142531 0.33377719 -0.00047493 0.00049539 0.00044303 0.33505613 0.33114848 0.33379540 -0.00101375 0.00028536 0.00034852 0.33406156 0.33226916 0.33366925 -0.00002267 0.00098548 0.00005553 0.33486596 0.33216032 0.33297369 -0.00035492 0.00039254 0.00015403 0.33510646 0.33196402 0.33292958 0.00075965 0.00057242 0.00010112
s_hext.py¶
In [210]:
!s_geo.py -f data_files/s_geo/s_geo_example.dat | s_hext.py
F = 5.79 F12 = 3.55 F23 = 3.66 N = 8 sigma = 0.000641809950 0.33505 5.3 14.7 25.5 124.5 61.7 13.3 268.8 23.6 0.33334 124.5 61.7 25.1 268.8 23.6 25.5 5.3 14.7 0.33161 268.8 23.6 13.3 5.3 14.7 25.1 124.5 61.7
sio_magic.py¶
See irmaq_magic.py
s_tilt.py¶
In [211]:
!s_tilt.py -f data_files/s_tilt/s_tilt_example.dat
0.33455709 0.33192658 0.33351630 -0.00043562 0.00092779 0.00105006 0.33585501 0.33191565 0.33222935 0.00055960 -0.00005316 0.00064732 0.33586669 0.33084923 0.33328408 0.00142266 0.00013234 0.00009203 0.33488664 0.33138493 0.33372843 -0.00056597 -0.00039085 0.00004873 0.33506602 0.33127019 0.33366373 -0.00105193 -0.00057257 -0.00029959 0.33407688 0.33177567 0.33414748 0.00007007 0.00018447 0.00005073 0.33483925 0.33197853 0.33318222 -0.00028447 0.00003518 -0.00029262 0.33513144 0.33175036 0.33311823 0.00077914 -0.00006402 0.00004612
s_magic.py¶
In [212]:
!s_magic.py -WD data_files/convert_2_magic/s_magic -f s_magic_example.dat
8 records written to file /Users/nebula/Python/PmagPy/data_files/convert_2_magic/s_magic/specimens.txt data saved in /Users/nebula/Python/PmagPy/data_files/convert_2_magic/s_magic/specimens.txt -I- Creating new samples table with data from specimens table -I- writing samples records to /Users/nebula/Python/PmagPy/data_files/convert_2_magic/s_magic/samples.txt -I- 8 records written to samples file -I- Creating new sites table with data from samples table -I- writing sites records to /Users/nebula/Python/PmagPy/data_files/convert_2_magic/s_magic/sites.txt -I- 1 records written to sites file -I- overwriting /Users/nebula/Python/PmagPy/data_files/convert_2_magic/s_magic/samples.txt -I- 8 records written to samples file -I- overwriting /Users/nebula/Python/PmagPy/data_files/convert_2_magic/s_magic/sites.txt -I- 1 records written to sites file
scalc.py¶
In [213]:
!scalc.py -f data_files/scalc/scalc_example.txt
100 21.8 180.0
In [214]:
!scalc.py < data_files/scalc/scalc_example.txt
100 21.8 180.0
In [215]:
!scalc.py -f data_files/scalc/scalc_example.txt -v
89 15.2 32.3
In [216]:
!scalc.py -f data_files/scalc/scalc_example.txt -v -b
89 15.2 13.5 16.8 32.3
scalc_magic.py¶
In [217]:
!scalc_magic.py -f data_files/scalc_magic/sites.txt -c 30
13 17.9 30.0
In [218]:
!scalc_magic.py -f data_files/scalc_magic/pmag_results.txt -c 30 -dm 2
13 17.9 30.0
site_edit.py¶
This program requires user interaction and can only be used on the command line.
specimens_results_magic.py¶
This program has been superceded by Pmag GUI and is not maintained.
stats.py¶
In [219]:
!stats.py -f data_files/gaussian/gauss.out
100 9.94986999 994.9869990000003 0.9581673609207783 9.629948550923512
strip_magic.py¶
In [220]:
!strip_magic.py -f data_files/strip_magic/pmag_results.txt -x age -y lat -fmt png -sav -DM 2
1 saved in strat.png
In [221]:
Image(filename='strat.png')
Out[221]:
In [222]:
!rm strat.png
!strip_magic.py -f data_files/strip_magic/sites_with_vgps.txt -x age -y lat -fmt png -sav -DM 3
1 saved in strat.png
In [223]:
Image(filename='strat.png')
Out[223]:
sundec.py¶
In [224]:
!sundec.py -f data_files/sundec/sundec_example.dat
154.2
thellier_magic.py¶
This program is no longer maintained - try Thellier GUI instead.
thellier_magic_redo.py¶
The function of this program has been incorporated into Thellier GUI so you should use that instead.
tk03.py¶
In [225]:
!tk03.py -lat 30 > data_files/tk03/tk03.out
!eqarea.py -f data_files/tk03/tk03.out -fmt png -sav
1 saved in tk03_eq.png
In [226]:
Image(filename='tk03_eq.png')
Out[226]:
trmaq_magic.py¶
In [227]:
!trmaq_magic.py -ft data_files/3_0/McMurdo/specimens.txt \
-f data_files/3_0/McMurdo/measurements.txt -sav -fmt png
mc01a 1 of 1046 Best = 13.5
skipping specimen - no trm acquisition data mc01a
mc01b 2 of 1046 Best = 13.9
skipping specimen - no trm acquisition data mc01b
skipping mc01c : no best
mc01d 4 of 1046 Best = 18.7
skipping specimen - no trm acquisition data mc01d
skipping mc01e : no best
skipping mc01f : no best
mc01g 7 of 1046 Best = 20.1
skipping specimen - no trm acquisition data mc01g
skipping mc01h : no best
skipping mc02a : no best
skipping mc02b : no best
skipping mc02c : no best
skipping mc02e : no best
mc02f 13 of 1046 Best = 16.7
skipping specimen - no trm acquisition data mc02f
skipping mc02g : no best
skipping mc02h : no best
skipping mc03a : no best
skipping mc03b : no best
skipping mc03c : no best
skipping mc03d : no best
skipping mc03f : no best
skipping mc03h : no best
skipping mc04a : no best
skipping mc04b : no best
skipping mc04c-1 : no best
skipping mc04e : no best
skipping mc04f : no best
skipping mc04g : no best
skipping mc04h : no best
skipping mc06a : no best
skipping mc06c : no best
skipping mc06d : no best
skipping mc06g : no best
mc06h 33 of 1046 Best = 27.7
skipping specimen - no trm acquisition data mc06h
skipping mc07b : no best
skipping mc07c : no best
skipping mc07d : no best
skipping mc07e : no best
skipping mc07f : no best
mc08a 39 of 1046 Best = 44.9
skipping specimen - no trm acquisition data mc08a
mc08b 40 of 1046 Best = 41.9
skipping specimen - no trm acquisition data mc08b
skipping mc08c : no best
skipping mc08d : no best
skipping mc08e : no best
skipping mc08f : no best
mc08g 45 of 1046 Best = 43.300000000000004
skipping specimen - no trm acquisition data mc08g
mc08h 46 of 1046 Best = 44.0
skipping specimen - no trm acquisition data mc08h
mc09a 47 of 1046 Best = 27.1
skipping specimen - no trm acquisition data mc09a
mc09b 48 of 1046 Best = 26.1
skipping specimen - no trm acquisition data mc09b
skipping mc09c : no best
mc09d 50 of 1046 Best = 28.099999999999998
skipping specimen - no trm acquisition data mc09d
skipping mc09e : no best
skipping mc09f : no best
skipping mc09g : no best
skipping mc09h : no best
skipping mc100a1 : no best
skipping mc100d1 : no best
skipping mc100e1 : no best
skipping mc100e2 : no best
skipping mc100f2 : no best
skipping mc100g1 : no best
skipping mc100g2 : no best
skipping mc100h2 : no best
skipping mc101a1 : no best
skipping mc101b1 : no best
skipping mc101c1 : no best
skipping mc101d1 : no best
skipping mc101f1 : no best
skipping mc101h1 : no best
skipping mc102a1 : no best
skipping mc102a2 : no best
skipping mc102b1 : no best
skipping mc102b2 : no best
skipping mc102e1 : no best
skipping mc102f1 : no best
skipping mc102g1 : no best
skipping mc102m2 : no best
skipping mc103a1 : no best
skipping mc103a2 : no best
skipping mc103b1 : no best
skipping mc103b2 : no best
skipping mc103c1 : no best
skipping mc103c2 : no best
skipping mc103d1 : no best
skipping mc103d2 : no best
mc103e1 85 of 1046 Best = 21.0
skipping specimen - no trm acquisition data mc103e1
skipping mc103e2 : no best
skipping mc104a1 : no best
skipping mc104b1 : no best
skipping mc104b2 : no best
skipping mc104c1 : no best
skipping mc104c2 : no best
skipping mc104d1 : no best
skipping mc104f1 : no best
skipping mc105a1 : no best
mc105a2 95 of 1046 Best = 27.1
skipping specimen - no trm acquisition data mc105a2
mc105c1 96 of 1046 Best = 28.4
skipping specimen - no trm acquisition data mc105c1
mc105d1 97 of 1046 Best = 27.6
skipping specimen - no trm acquisition data mc105d1
skipping mc105f1 : no best
skipping mc105g1 : no best
skipping mc105h1 : no best
mc105j1 101 of 1046 Best = 31.4
skipping specimen - no trm acquisition data mc105j1
skipping mc106a1 : no best
skipping mc106b1 : no best
skipping mc106c1 : no best
skipping mc106d1 : no best
skipping mc106e1 : no best
skipping mc107c1 : no best
skipping mc107d2 : no best
skipping mc107e1 : no best
mc107e2 110 of 1046 Best = 15.2
skipping specimen - no trm acquisition data mc107e2
skipping mc107h1 : no best
skipping mc107k1 : no best
skipping mc107l1 : no best
skipping mc108a1 : no best
skipping mc108a2 : no best
skipping mc108b1 : no best
skipping mc108c1 : no best
skipping mc108d1 : no best
skipping mc108g2 : no best
skipping mc108h1 : no best
skipping mc108k1 : no best
mc109a1 122 of 1046 Best = 36.0
skipping specimen - no trm acquisition data mc109a1
skipping mc109a2 : no best
mc109c1 124 of 1046 Best = 34.8
skipping specimen - no trm acquisition data mc109c1
mc109d1 125 of 1046 Best = 33.699999999999996
skipping specimen - no trm acquisition data mc109d1
mc109e1 126 of 1046 Best = 30.3
skipping specimen - no trm acquisition data mc109e1
skipping mc109i1 : no best
mc10a 128 of 1046 Best = 29.5
skipping specimen - no trm acquisition data mc10a
mc10b 129 of 1046 Best = 29.7
skipping specimen - no trm acquisition data mc10b
skipping mc10c : no best
mc10d 131 of 1046 Best = 37.4
skipping specimen - no trm acquisition data mc10d
skipping mc10e : no best
skipping mc10f : no best
skipping mc10g : no best
skipping mc10h : no best
skipping mc110a1 : no best
skipping mc110a2 : no best
skipping mc110b1 : no best
skipping mc110b2 : no best
skipping mc110d1 : no best
skipping mc110g1 : no best
skipping mc110i1 : no best
skipping mc111a2 : no best
skipping mc111b1 : no best
skipping mc111d1 : no best
mc111d2 146 of 1046 Best = 27.6
skipping specimen - no trm acquisition data mc111d2
skipping mc111e1 : no best
mc111e2 148 of 1046 Best = 28.2
skipping specimen - no trm acquisition data mc111e2
skipping mc111f1 : no best
skipping mc111l1 : no best
skipping mc112a1 : no best
skipping mc112b2 : no best
skipping mc112c1 : no best
skipping mc112c2 : no best
skipping mc112d1 : no best
skipping mc112g1 : no best
skipping mc112h3 : no best
skipping mc112j1 : no best
skipping mc113a1 : no best
skipping mc113a1-1 : no best
mc113a2 161 of 1046 Best = 11.0
skipping specimen - no trm acquisition data mc113a2
skipping mc113b1 : no best
skipping mc113c1 : no best
skipping mc113e1 : no best
skipping mc113f1 : no best
skipping mc113g1 : no best
skipping mc113h1 : no best
mc113j1 168 of 1046 Best = 11.5
skipping specimen - no trm acquisition data mc113j1
mc113m1 169 of 1046 Best = 12.1
skipping specimen - no trm acquisition data mc113m1
skipping mc114a1 : no best
skipping mc114b2 : no best
skipping mc114c1 : no best
skipping mc114d2 : no best
skipping mc114e1 : no best
skipping mc114i1 : no best
skipping mc115a1 : no best
mc115a2 177 of 1046 Best = 24.9
skipping specimen - no trm acquisition data mc115a2
mc115b1 178 of 1046 Best = 24.3
skipping specimen - no trm acquisition data mc115b1
mc115e1 179 of 1046 Best = 24.7
skipping specimen - no trm acquisition data mc115e1
skipping mc115g2 : no best
skipping mc115h1 : no best
skipping mc116a1 : no best
mc116b1 183 of 1046 Best = 38.5
skipping specimen - no trm acquisition data mc116b1
skipping mc116c1 : no best
skipping mc116i2 : no best
mc116j2 186 of 1046 Best = 41.0
skipping specimen - no trm acquisition data mc116j2
mc117a1 187 of 1046 Best = 25.5
skipping specimen - no trm acquisition data mc117a1
skipping mc117a2 : no best
skipping mc117a2-1 : no best
mc117b1 190 of 1046 Best = 26.2
Optimization terminated successfully.
Current function value: 0.000000
Iterations: 111
Function evaluations: 209
Optimization terminated successfully.
Current function value: 0.000000
Iterations: 49
Function evaluations: 92
Banc= 26.214351298075737
1 saved in mc117b1_TRM.png
mc117d2 191 of 1046 Best = 26.8
skipping specimen - no trm acquisition data mc117d2
mc117e2 192 of 1046 Best = 27.2
skipping specimen - no trm acquisition data mc117e2
skipping mc117h1 : no best
skipping mc118a1 : no best
skipping mc118c1 : no best
skipping mc118d1 : no best
skipping mc118e1 : no best
skipping mc118f1 : no best
skipping mc118i1 : no best
skipping mc118l2 : no best
mc119a1 201 of 1046 Best = 42.4
skipping specimen - no trm acquisition data mc119a1
mc119b1 202 of 1046 Best = 43.6
skipping specimen - no trm acquisition data mc119b1
skipping mc119b2 : no best
mc119d2 204 of 1046 Best = 39.1
skipping specimen - no trm acquisition data mc119d2
mc119e2 205 of 1046 Best = 40.3
skipping specimen - no trm acquisition data mc119e2
mc119f2 206 of 1046 Best = 39.5
skipping specimen - no trm acquisition data mc119f2
skipping mc11a : no best
mc11b 208 of 1046 Best = 48.099999999999994
skipping specimen - no trm acquisition data mc11b
mc11c 209 of 1046 Best = 51.400000000000006
skipping specimen - no trm acquisition data mc11c
skipping mc11d : no best
mc11e 211 of 1046 Best = 30.3
skipping specimen - no trm acquisition data mc11e
skipping mc11f : no best
skipping mc11g : no best
mc11h 214 of 1046 Best = 22.799999999999997
skipping specimen - no trm acquisition data mc11h
mc120a1 215 of 1046 Best = 24.7
skipping specimen - no trm acquisition data mc120a1
skipping mc120a2 : no best
skipping mc120a2-1 : no best
mc120b1 218 of 1046 Best = 24.7
skipping specimen - no trm acquisition data mc120b1
mc120b2 219 of 1046 Best = 25.0
skipping specimen - no trm acquisition data mc120b2
mc120c1 220 of 1046 Best = 23.900000000000002
Optimization terminated successfully.
Current function value: 0.000000
Iterations: 121
Function evaluations: 227
Optimization terminated successfully.
Current function value: 0.000000
Iterations: 46
Function evaluations: 90
Banc= 23.888891833665905
1 saved in mc120c1_TRM.png
mc120f1 221 of 1046 Best = 23.200000000000003
skipping specimen - no trm acquisition data mc120f1
skipping mc120j2 : no best
skipping mc120l1 : no best
skipping mc120m2 : no best
skipping mc121a1 : no best
mc121c1 226 of 1046 Best = 12.0
skipping specimen - no trm acquisition data mc121c1
skipping mc121c3 : no best
mc121d1 228 of 1046 Best = 24.0
skipping specimen - no trm acquisition data mc121d1
skipping mc121d2 : no best
mc121e1 230 of 1046 Best = 28.2
skipping specimen - no trm acquisition data mc121e1
skipping mc121e2 : no best
mc121f2 232 of 1046 Best = 20.5
skipping specimen - no trm acquisition data mc121f2
mc121g1 233 of 1046 Best = 34.7
skipping specimen - no trm acquisition data mc121g1
skipping mc121i1 : no best
mc121k1 235 of 1046 Best = 27.5
skipping specimen - no trm acquisition data mc121k1
mc121k2 236 of 1046 Best = 25.8
skipping specimen - no trm acquisition data mc121k2
skipping mc122a1 : no best
skipping mc122b1 : no best
skipping mc122c1 : no best
skipping mc122d1 : no best
skipping mc122f1 : no best
skipping mc122g1 : no best
skipping mc122k2 : no best
skipping mc122l1 : no best
skipping mc123a1 : no best
mc123a2 246 of 1046 Best = 33.0
skipping specimen - no trm acquisition data mc123a2
mc123b1 247 of 1046 Best = 27.6
skipping specimen - no trm acquisition data mc123b1
mc123b2 248 of 1046 Best = 30.2
skipping specimen - no trm acquisition data mc123b2
skipping mc123c2 : no best
mc123c3 250 of 1046 Best = 29.3
skipping specimen - no trm acquisition data mc123c3
skipping mc123f1 : no best
skipping mc123j1 : no best
mc124a1 253 of 1046 Best = 23.6
skipping specimen - no trm acquisition data mc124a1
skipping mc124d1 : no best
mc124d2 255 of 1046 Best = 19.3
skipping specimen - no trm acquisition data mc124d2
skipping mc124f1 : no best
skipping mc124g1 : no best
skipping mc124h1 : no best
skipping mc124j1 : no best
skipping mc124l1 : no best
skipping mc125a1 : no best
skipping mc125b1 : no best
skipping mc125c1 : no best
mc125d1 264 of 1046 Best = 6.07
skipping specimen - no trm acquisition data mc125d1
mc125e1 265 of 1046 Best = 5.14
skipping specimen - no trm acquisition data mc125e1
skipping mc125e3 : no best
skipping mc125g1 : no best
mc125i1 268 of 1046 Best = 25.9
skipping specimen - no trm acquisition data mc125i1
skipping mc125m1 : no best
skipping mc126a2 : no best
skipping mc126c1 : no best
skipping mc126c2 : no best
skipping mc126d1 : no best
skipping mc126e1 : no best
skipping mc126f1 : no best
skipping mc126g1 : no best
skipping mc126i1 : no best
skipping mc127a1 : no best
mc127a2 279 of 1046 Best = 39.6
skipping specimen - no trm acquisition data mc127a2
skipping mc127b1 : no best
mc127c1 281 of 1046 Best = 37.4
skipping specimen - no trm acquisition data mc127c1
mc127d1 282 of 1046 Best = 36.5
skipping specimen - no trm acquisition data mc127d1
skipping mc127f1 : no best
skipping mc127g2 : no best
skipping mc127i1 : no best
skipping mc128b1 : no best
mc128b2 287 of 1046 Best = 32.7
skipping specimen - no trm acquisition data mc128b2
mc128c2 288 of 1046 Best = 37.4
skipping specimen - no trm acquisition data mc128c2
skipping mc128d1 : no best
skipping mc128e1 : no best
skipping mc128e2 : no best
skipping mc128f1 : no best
skipping mc128h1 : no best
mc128j1 294 of 1046 Best = 32.8
skipping specimen - no trm acquisition data mc128j1
skipping mc129a1 : no best
skipping mc129a1-1 : no best
skipping mc129a2 : no best
mc129b1 298 of 1046 Best = 49.9
skipping specimen - no trm acquisition data mc129b1
mc129c1 299 of 1046 Best = 49.0
skipping specimen - no trm acquisition data mc129c1
skipping mc129c2 : no best
skipping mc129f1 : no best
skipping mc129h2 : no best
skipping mc129j1 : no best
mc129l1 304 of 1046 Best = 18.099999999999998
skipping specimen - no trm acquisition data mc129l1
mc130a1 305 of 1046 Best = 29.3
skipping specimen - no trm acquisition data mc130a1
skipping mc130a2 : no best
skipping mc130b1 : no best
mc130d1 308 of 1046 Best = 21.1
skipping specimen - no trm acquisition data mc130d1
skipping mc130e1 : no best
skipping mc130g2 : no best
mc130h1 311 of 1046 Best = 17.200000000000003
skipping specimen - no trm acquisition data mc130h1
skipping mc130i2 : no best
skipping mc130j2 : no best
skipping mc131a3 : no best
mc131b1 315 of 1046 Best = 16.099999999999998
skipping specimen - no trm acquisition data mc131b1
mc131c2 316 of 1046 Best = 16.799999999999997
skipping specimen - no trm acquisition data mc131c2
mc131d2 317 of 1046 Best = 16.2
skipping specimen - no trm acquisition data mc131d2
mc131e1 318 of 1046 Best = 16.5
skipping specimen - no trm acquisition data mc131e1
skipping mc131f1 : no best
mc131g1 320 of 1046 Best = 18.3
skipping specimen - no trm acquisition data mc131g1
skipping mc131k1 : no best
skipping mc132a1 : no best
skipping mc132c1 : no best
skipping mc132d1 : no best
skipping mc132e1 : no best
mc132e2 326 of 1046 Best = 3.46
Optimization terminated successfully.
Current function value: 0.000000
Iterations: 96
Function evaluations: 182
Optimization terminated successfully.
Current function value: 0.000000
Iterations: 49
Function evaluations: 92
Banc= 3.421376846090002
1 saved in mc132e2_TRM.png
mc132f2 327 of 1046 Best = 3.27
skipping specimen - no trm acquisition data mc132f2
mc132g2 328 of 1046 Best = 3.28
Optimization terminated successfully.
Current function value: 0.000000
Iterations: 93
Function evaluations: 174
Optimization terminated successfully.
Current function value: 0.000000
Iterations: 48
Function evaluations: 91
Banc= 3.252676110475162
1 saved in mc132g2_TRM.png
mc132h2 329 of 1046 Best = 3.1599999999999997
skipping specimen - no trm acquisition data mc132h2
mc132i2 330 of 1046 Best = 3.45
skipping specimen - no trm acquisition data mc132i2
mc132j1 331 of 1046 Best = 3.07
skipping specimen - no trm acquisition data mc132j1
skipping mc132j2 : no best
mc132k1 333 of 1046 Best = 3.36
skipping specimen - no trm acquisition data mc132k1
skipping mc132l1 : no best
skipping mc133b2 : no best
skipping mc133d1 : no best
mc133f1 337 of 1046 Best = 43.900000000000006
skipping specimen - no trm acquisition data mc133f1
skipping mc133f2 : no best
mc133g1 339 of 1046 Best = 48.699999999999996
skipping specimen - no trm acquisition data mc133g1
skipping mc133h1 : no best
skipping mc133j1 : no best
mc133l1 342 of 1046 Best = 47.3
skipping specimen - no trm acquisition data mc133l1
skipping mc134a1 : no best
skipping mc134c1 : no best
mc134c2 345 of 1046 Best = 18.6
skipping specimen - no trm acquisition data mc134c2
skipping mc134e1 : no best
mc134f1 347 of 1046 Best = 2.1900000000000004
skipping specimen - no trm acquisition data mc134f1
skipping mc134k1 : no best
mc135a1 349 of 1046 Best = 35.5
skipping specimen - no trm acquisition data mc135a1
skipping mc135b1 : no best
mc135c2 351 of 1046 Best = 41.1
skipping specimen - no trm acquisition data mc135c2
skipping mc135d2 : no best
mc135e1 353 of 1046 Best = 11.5
skipping specimen - no trm acquisition data mc135e1
skipping mc135e2 : no best
skipping mc135h2 : no best
skipping mc135i2 : no best
skipping mc136a1 : no best
mc136a2 358 of 1046 Best = 1.42
skipping specimen - no trm acquisition data mc136a2
skipping mc136c1 : no best
skipping mc136d1 : no best
skipping mc136d2 : no best
skipping mc136e1 : no best
skipping mc136g1 : no best
skipping mc136h2 : no best
skipping mc136i1 : no best
skipping mc136i2 : no best
skipping mc137a1 : no best
skipping mc137d1 : no best
skipping mc137h1 : no best
skipping mc137j2 : no best
skipping mc137l1 : no best
skipping mc138a1 : no best
skipping mc138b1 : no best
skipping mc138d1 : no best
skipping mc138g1 : no best
skipping mc138h1 : no best
mc139a1 377 of 1046 Best = 5.36
skipping specimen - no trm acquisition data mc139a1
skipping mc139a2 : no best
mc139c1 379 of 1046 Best = 19.8
skipping specimen - no trm acquisition data mc139c1
skipping mc139d1 : no best
skipping mc139e1 : no best
skipping mc139h1 : no best
skipping mc139j2 : no best
mc13a 384 of 1046 Best = 28.5
skipping specimen - no trm acquisition data mc13a
mc13b 385 of 1046 Best = 30.0
skipping specimen - no trm acquisition data mc13b
mc13c 386 of 1046 Best = 32.8
skipping specimen - no trm acquisition data mc13c
mc13d 387 of 1046 Best = 31.6
skipping specimen - no trm acquisition data mc13d
skipping mc13e : no best
skipping mc13f : no best
skipping mc13g : no best
skipping mc13h : no best
mc140a1 392 of 1046 Best = 19.1
skipping specimen - no trm acquisition data mc140a1
mc140b1 393 of 1046 Best = 13.7
skipping specimen - no trm acquisition data mc140b1
mc140c1 394 of 1046 Best = 17.200000000000003
skipping specimen - no trm acquisition data mc140c1
mc140d1 395 of 1046 Best = 19.700000000000003
skipping specimen - no trm acquisition data mc140d1
skipping mc140e1 : no best
skipping mc140g1 : no best
skipping mc140h1 : no best
skipping mc140j1 : no best
skipping mc141b1 : no best
skipping mc141b2 : no best
skipping mc141c1 : no best
skipping mc141g1 : no best
skipping mc141h3 : no best
skipping mc141k2 : no best
skipping mc141l1 : no best
skipping mc142b2 : no best
mc142c1 408 of 1046 Best = 14.8
skipping specimen - no trm acquisition data mc142c1
skipping mc142c2 : no best
mc142d1 410 of 1046 Best = 13.4
skipping specimen - no trm acquisition data mc142d1
skipping mc142e1 : no best
mc142e2 412 of 1046 Best = 14.3
skipping specimen - no trm acquisition data mc142e2
mc142f2 413 of 1046 Best = 14.2
skipping specimen - no trm acquisition data mc142f2
skipping mc142i2 : no best
skipping mc142k1 : no best
mc142k2 416 of 1046 Best = 18.7
skipping specimen - no trm acquisition data mc142k2
skipping mc143a1 : no best
skipping mc143b1 : no best
skipping mc143c1 : no best
skipping mc143d2 : no best
skipping mc143g1 : no best
skipping mc143h1 : no best
skipping mc143i1 : no best
skipping mc144a1 : no best
skipping mc144b1 : no best
skipping mc144d1 : no best
mc144e1 427 of 1046 Best = 19.700000000000003
skipping specimen - no trm acquisition data mc144e1
mc144f1 428 of 1046 Best = 18.2
skipping specimen - no trm acquisition data mc144f1
mc144h1 429 of 1046 Best = 6.66
skipping specimen - no trm acquisition data mc144h1
skipping mc144h2 : no best
skipping mc144j1 : no best
mc144j2 432 of 1046 Best = 19.400000000000002
skipping specimen - no trm acquisition data mc144j2
mc144k1 433 of 1046 Best = 12.4
skipping specimen - no trm acquisition data mc144k1
skipping mc145b1 : no best
skipping mc145c1 : no best
mc145c2 436 of 1046 Best = 6.680000000000001
skipping specimen - no trm acquisition data mc145c2
mc145f1 437 of 1046 Best = 7.21
skipping specimen - no trm acquisition data mc145f1
skipping mc145i1 : no best
skipping mc145j1 : no best
mc145k2 440 of 1046 Best = 6.93
skipping specimen - no trm acquisition data mc145k2
mc145l1 441 of 1046 Best = 6.9399999999999995
skipping specimen - no trm acquisition data mc145l1
skipping mc146a1 : no best
skipping mc146d1 : no best
mc146e1 444 of 1046 Best = 16.7
skipping specimen - no trm acquisition data mc146e1
mc146f1 445 of 1046 Best = 17.7
skipping specimen - no trm acquisition data mc146f1
skipping mc146h1 : no best
skipping mc146i2 : no best
skipping mc146j1 : no best
mc146j2 449 of 1046 Best = 6.42
skipping specimen - no trm acquisition data mc146j2
skipping mc146k1 : no best
mc147a1 451 of 1046 Best = 26.400000000000002
skipping specimen - no trm acquisition data mc147a1
skipping mc147c1 : no best
mc147i1 453 of 1046 Best = 22.5
skipping specimen - no trm acquisition data mc147i1
mc147j2 454 of 1046 Best = 21.2
skipping specimen - no trm acquisition data mc147j2
mc147k2 455 of 1046 Best = 21.0
skipping specimen - no trm acquisition data mc147k2
skipping mc148a1 : no best
skipping mc148b1 : no best
skipping mc148c1 : no best
mc148d1 459 of 1046 Best = 53.4
skipping specimen - no trm acquisition data mc148d1
skipping mc148f1 : no best
mc148i1 461 of 1046 Best = 50.599999999999994
skipping specimen - no trm acquisition data mc148i1
mc148j1 462 of 1046 Best = 50.699999999999996
skipping specimen - no trm acquisition data mc148j1
skipping mc148k1 : no best
skipping mc149a1 : no best
skipping mc149b1 : no best
skipping mc149d1 : no best
skipping mc149e1 : no best
skipping mc149g1 : no best
skipping mc14a : no best
mc14b 470 of 1046 Best = 70.7
skipping specimen - no trm acquisition data mc14b
mc14c 471 of 1046 Best = 39.5
skipping specimen - no trm acquisition data mc14c
mc14d 472 of 1046 Best = 54.6
skipping specimen - no trm acquisition data mc14d
skipping mc14e : no best
skipping mc14f : no best
skipping mc14g : no best
mc14h 476 of 1046 Best = 83.1
skipping specimen - no trm acquisition data mc14h
skipping mc150b1 : no best
skipping mc150c1 : no best
skipping mc150e1 : no best
skipping mc150f1 : no best
skipping mc150g1 : no best
skipping mc152a1 : no best
skipping mc152b1 : no best
skipping mc152b2 : no best
skipping mc152c1 : no best
skipping mc152e1 : no best
skipping mc152g1 : no best
skipping mc152i1 : no best
skipping mc152k1 : no best
mc153a1 490 of 1046 Best = 29.8
skipping specimen - no trm acquisition data mc153a1
skipping mc153a2 : no best
mc153c1 492 of 1046 Best = 34.5
skipping specimen - no trm acquisition data mc153c1
skipping mc153e1 : no best
skipping mc153i1 : no best
skipping mc153j1 : no best
skipping mc153m1 : no best
skipping mc154a1 : no best
mc154a2 498 of 1046 Best = 8.64
skipping specimen - no trm acquisition data mc154a2
skipping mc154b1 : no best
skipping mc154e1 : no best
skipping mc154f1 : no best
skipping mc154h1 : no best
mc154j2 503 of 1046 Best = 7.300000000000001
skipping specimen - no trm acquisition data mc154j2
skipping mc155a1 : no best
skipping mc155b1 : no best
mc155c1 506 of 1046 Best = 34.199999999999996
skipping specimen - no trm acquisition data mc155c1
skipping mc155e2 : no best
skipping mc155g1 : no best
mc155h1 509 of 1046 Best = 26.5
skipping specimen - no trm acquisition data mc155h1
skipping mc155i1 : no best
mc155m1 511 of 1046 Best = 26.1
skipping specimen - no trm acquisition data mc155m1
skipping mc156a1 : no best
skipping mc156b1 : no best
skipping mc156c1 : no best
skipping mc156c2 : no best
skipping mc156f1 : no best
skipping mc156g1 : no best
skipping mc156h1 : no best
skipping mc156i1 : no best
skipping mc157a1 : no best
skipping mc157a2 : no best
skipping mc157b1 : no best
skipping mc157b2 : no best
mc157c2 524 of 1046 Best = 20.2
skipping specimen - no trm acquisition data mc157c2
skipping mc157e2 : no best
skipping mc157f1 : no best
skipping mc157j1 : no best
skipping mc157k1 : no best
mc158a1 529 of 1046 Best = 4.68
skipping specimen - no trm acquisition data mc158a1
mc158b1 530 of 1046 Best = 4.52
skipping specimen - no trm acquisition data mc158b1
skipping mc158b2 : no best
skipping mc158c1 : no best
skipping mc158d1 : no best
skipping mc158f1 : no best
skipping mc158h1 : no best
mc15a 536 of 1046 Best = 24.7
skipping specimen - no trm acquisition data mc15a
mc15b 537 of 1046 Best = 27.1
skipping specimen - no trm acquisition data mc15b
mc15c 538 of 1046 Best = 30.9
skipping specimen - no trm acquisition data mc15c
mc15c2 539 of 1046 Best = 29.099999999999998
skipping specimen - no trm acquisition data mc15c2
skipping mc15d : no best
skipping mc15e : no best
skipping mc15f : no best
skipping mc15g : no best
mc15h 544 of 1046 Best = 26.1
skipping specimen - no trm acquisition data mc15h
mc160a1 545 of 1046 Best = 20.9
skipping specimen - no trm acquisition data mc160a1
skipping mc160a2 : no best
skipping mc160b1 : no best
skipping mc160c1 : no best
mc160e1 549 of 1046 Best = 22.099999999999998
skipping specimen - no trm acquisition data mc160e1
skipping mc160e2 : no best
mc160f2 551 of 1046 Best = 22.7
skipping specimen - no trm acquisition data mc160f2
skipping mc160h2 : no best
skipping mc160j1 : no best
skipping mc160j2 : no best
skipping mc161a1 : no best
mc161b1 556 of 1046 Best = 5.800000000000001
skipping specimen - no trm acquisition data mc161b1
skipping mc161e1 : no best
skipping mc161f1 : no best
mc161g1 559 of 1046 Best = 4.1
skipping specimen - no trm acquisition data mc161g1
skipping mc161j1 : no best
skipping mc161k1 : no best
mc162b1 562 of 1046 Best = 7.29
skipping specimen - no trm acquisition data mc162b1
skipping mc162b2 : no best
mc162c1 564 of 1046 Best = 8.42
skipping specimen - no trm acquisition data mc162c1
skipping mc162f1 : no best
skipping mc162g1 : no best
skipping mc162i1 : no best
skipping mc162j1 : no best
skipping mc163a1 : no best
skipping mc163b1 : no best
skipping mc163c1 : no best
skipping mc163d1 : no best
skipping mc163e1 : no best
skipping mc163f1 : no best
skipping mc163h1 : no best
skipping mc164a1 : no best
skipping mc164a2 : no best
skipping mc164a2-1 : no best
skipping mc164b1 : no best
mc164c1 580 of 1046 Best = 81.4
skipping specimen - no trm acquisition data mc164c1
mc164f1 581 of 1046 Best = 81.19999999999999
skipping specimen - no trm acquisition data mc164f1
skipping mc164g2 : no best
skipping mc164h1 : no best
skipping mc164i1 : no best
mc164j1 585 of 1046 Best = 81.3
skipping specimen - no trm acquisition data mc164j1
skipping mc164l2 : no best
skipping mc165a1 : no best
mc165b1 588 of 1046 Best = 26.2
skipping specimen - no trm acquisition data mc165b1
skipping mc165b2 : no best
mc165c1 590 of 1046 Best = 24.2
skipping specimen - no trm acquisition data mc165c1
skipping mc165c2 : no best
skipping mc165g1 : no best
mc165h2 593 of 1046 Best = 26.400000000000002
skipping specimen - no trm acquisition data mc165h2
mc165i2 594 of 1046 Best = 28.3
skipping specimen - no trm acquisition data mc165i2
skipping mc166a1 : no best
mc166b1 596 of 1046 Best = 26.299999999999997
skipping specimen - no trm acquisition data mc166b1
skipping mc166b2 : no best
mc166c1 598 of 1046 Best = 22.0
skipping specimen - no trm acquisition data mc166c1
skipping mc166c2 : no best
mc166h2 600 of 1046 Best = 30.4
skipping specimen - no trm acquisition data mc166h2
skipping mc166i1 : no best
mc166i2 602 of 1046 Best = 37.7
skipping specimen - no trm acquisition data mc166i2
skipping mc167a1 : no best
mc167b1 604 of 1046 Best = 44.8
skipping specimen - no trm acquisition data mc167b1
mc167d2 605 of 1046 Best = 42.9
skipping specimen - no trm acquisition data mc167d2
skipping mc167e1 : no best
mc167e2 607 of 1046 Best = 42.5
skipping specimen - no trm acquisition data mc167e2
skipping mc167f2 : no best
skipping mc167h1 : no best
skipping mc167j1 : no best
mc167k1 611 of 1046 Best = 42.7
skipping specimen - no trm acquisition data mc167k1
mc168a1 612 of 1046 Best = 5.83
skipping specimen - no trm acquisition data mc168a1
skipping mc168c1 : no best
mc168c2 614 of 1046 Best = 5.26
skipping specimen - no trm acquisition data mc168c2
mc168d1 615 of 1046 Best = 5.9
skipping specimen - no trm acquisition data mc168d1
mc168f1 616 of 1046 Best = 5.49
skipping specimen - no trm acquisition data mc168f1
skipping mc168h1 : no best
mc168h2 618 of 1046 Best = 5.2
skipping specimen - no trm acquisition data mc168h2
skipping mc168i1 : no best
skipping mc168j1 : no best
skipping mc168k1 : no best
skipping mc170a1 : no best
skipping mc170c2 : no best
skipping mc170d1 : no best
skipping mc170e2 : no best
skipping mc170f1 : no best
skipping mc19a : no best
mc19b 628 of 1046 Best = 25.2
skipping specimen - no trm acquisition data mc19b
skipping mc19c : no best
skipping mc19d : no best
skipping mc19e : no best
skipping mc19f : no best
skipping mc19g : no best
skipping mc200a1 : no best
skipping mc200a2 : no best
mc200b1 636 of 1046 Best = 15.2
skipping specimen - no trm acquisition data mc200b1
skipping mc200b2 : no best
mc200c1 638 of 1046 Best = 14.8
skipping specimen - no trm acquisition data mc200c1
skipping mc200c2 : no best
mc200d1 640 of 1046 Best = 11.600000000000001
skipping specimen - no trm acquisition data mc200d1
skipping mc200d2 : no best
mc200h1 642 of 1046 Best = 9.9
skipping specimen - no trm acquisition data mc200h1
mc200i1 643 of 1046 Best = 12.9
skipping specimen - no trm acquisition data mc200i1
skipping mc201a1 : no best
mc201b1 645 of 1046 Best = 4.68
skipping specimen - no trm acquisition data mc201b1
skipping mc201b2 : no best
skipping mc201c1 : no best
skipping mc201d1 : no best
skipping mc201e1 : no best
skipping mc201j1 : no best
skipping mc202a1 : no best
mc202b1 652 of 1046 Best = 2.06
skipping specimen - no trm acquisition data mc202b1
skipping mc202c1 : no best
skipping mc202d1 : no best
skipping mc202f1 : no best
skipping mc202h1 : no best
skipping mc202j1 : no best
skipping mc203a1 : no best
skipping mc203b1 : no best
skipping mc203c1 : no best
skipping mc203d1 : no best
skipping mc203g1 : no best
skipping mc203h1 : no best
skipping mc204a1 : no best
mc204b1 665 of 1046 Best = 21.5
skipping specimen - no trm acquisition data mc204b1
skipping mc204c1 : no best
skipping mc204h1 : no best
skipping mc204k1 : no best
skipping mc204l1 : no best
skipping mc205a1 : no best
skipping mc205a1-1 : no best
mc205a2 672 of 1046 Best = 43.2
skipping specimen - no trm acquisition data mc205a2
mc205b1 673 of 1046 Best = 30.3
Optimization terminated successfully.
Current function value: 0.000000
Iterations: 119
Function evaluations: 227
Optimization terminated successfully.
Current function value: 0.000000
Iterations: 47
Function evaluations: 90
Banc= 30.303352800307902
1 saved in mc205b1_TRM.png
skipping mc205c1 : no best
skipping mc205d1 : no best
skipping mc205e1 : no best
mc205h1 677 of 1046 Best = 54.8
skipping specimen - no trm acquisition data mc205h1
skipping mc205h2 : no best
mc205i2 679 of 1046 Best = 46.3
skipping specimen - no trm acquisition data mc205i2
mc205k1 680 of 1046 Best = 57.3
skipping specimen - no trm acquisition data mc205k1
skipping mc206a1 : no best
mc206b1 682 of 1046 Best = 77.7
skipping specimen - no trm acquisition data mc206b1
mc206c1 683 of 1046 Best = 95.1
skipping specimen - no trm acquisition data mc206c1
mc206d1 684 of 1046 Best = 115.89
skipping specimen - no trm acquisition data mc206d1
mc206e1 685 of 1046 Best = 142.6
skipping specimen - no trm acquisition data mc206e1
mc206f1 686 of 1046 Best = 117.67
skipping specimen - no trm acquisition data mc206f1
skipping mc206g1 : no best
skipping mc206h1 : no best
skipping mc206i1 : no best
skipping mc206k1 : no best
skipping mc207a1 : no best
skipping mc207b1 : no best
skipping mc207d1 : no best
skipping mc207g2 : no best
skipping mc207h2 : no best
skipping mc207k2 : no best
skipping mc208a1 : no best
mc208b1 698 of 1046 Best = 23.0
skipping specimen - no trm acquisition data mc208b1
skipping mc208c2 : no best
skipping mc208d2 : no best
skipping mc208e2 : no best
skipping mc208f2 : no best
skipping mc209a1 : no best
skipping mc209b1 : no best
skipping mc209b2 : no best
skipping mc209c2 : no best
skipping mc209e2 : no best
skipping mc209f1 : no best
skipping mc20a : no best
skipping mc20b : no best
skipping mc20c : no best
mc20d 712 of 1046 Best = 19.400000000000002
skipping specimen - no trm acquisition data mc20d
skipping mc20e : no best
skipping mc20f : no best
mc20h 715 of 1046 Best = 6.19
skipping specimen - no trm acquisition data mc20h
skipping mc210a2 : no best
skipping mc210b1 : no best
skipping mc210b2 : no best
skipping mc210c2 : no best
skipping mc210e1 : no best
skipping mc210i2 : no best
skipping mc211a1 : no best
mc211b1 723 of 1046 Best = 96.8
skipping specimen - no trm acquisition data mc211b1
skipping mc211b2 : no best
mc211e1 725 of 1046 Best = 75.2
skipping specimen - no trm acquisition data mc211e1
skipping mc211e2 : no best
mc211g1 727 of 1046 Best = 73.6
skipping specimen - no trm acquisition data mc211g1
skipping mc211g2 : no best
mc211h1 729 of 1046 Best = 89.5
skipping specimen - no trm acquisition data mc211h1
mc211i1 730 of 1046 Best = 72.3
skipping specimen - no trm acquisition data mc211i1
skipping mc212a1 : no best
skipping mc212b1 : no best
skipping mc212b2 : no best
skipping mc212c2 : no best
skipping mc212d2 : no best
skipping mc212g2 : no best
skipping mc213b1 : no best
skipping mc213e2 : no best
skipping mc213f2 : no best
skipping mc213g2 : no best
skipping mc213h2 : no best
skipping mc213i2 : no best
skipping mc214a2 : no best
mc214b1 744 of 1046 Best = 48.8
skipping specimen - no trm acquisition data mc214b1
skipping mc214b2 : no best
mc214d1 746 of 1046 Best = 42.8
skipping specimen - no trm acquisition data mc214d1
skipping mc214d2 : no best
mc214g1 748 of 1046 Best = 43.800000000000004
skipping specimen - no trm acquisition data mc214g1
skipping mc214g2 : no best
mc214h1 750 of 1046 Best = 43.300000000000004
skipping specimen - no trm acquisition data mc214h1
mc214j1 751 of 1046 Best = 40.3
skipping specimen - no trm acquisition data mc214j1
skipping mc214j2 : no best
mc215a1 753 of 1046 Best = 51.199999999999996
skipping specimen - no trm acquisition data mc215a1
skipping mc215a2 : no best
mc215b1 755 of 1046 Best = 50.800000000000004
skipping specimen - no trm acquisition data mc215b1
mc215c1 756 of 1046 Best = 16.2
skipping specimen - no trm acquisition data mc215c1
skipping mc215c2 : no best
mc215d1 758 of 1046 Best = 11.8
skipping specimen - no trm acquisition data mc215d1
skipping mc215d2 : no best
mc215h1 760 of 1046 Best = 17.0
skipping specimen - no trm acquisition data mc215h1
skipping mc215h2 : no best
skipping mc215i1 : no best
mc216a1 763 of 1046 Best = 4.74
skipping specimen - no trm acquisition data mc216a1
skipping mc216a2 : no best
mc216b1 765 of 1046 Best = 5.52
skipping specimen - no trm acquisition data mc216b1
mc216c1 766 of 1046 Best = 4.21
skipping specimen - no trm acquisition data mc216c1
skipping mc216c2 : no best
skipping mc216f1 : no best
skipping mc216f2 : no best
skipping mc216g1 : no best
skipping mc216g2 : no best
skipping mc216h2 : no best
mc217a1 773 of 1046 Best = 27.1
Optimization terminated successfully.
Current function value: 0.000000
Iterations: 88
Function evaluations: 169
Optimization terminated successfully.
Current function value: 0.000000
Iterations: 45
Function evaluations: 88
Banc= 27.033927949582854
1 saved in mc217a1_TRM.png
skipping mc217a2 : no best
skipping mc217a2-1 : no best
mc217b1 776 of 1046 Best = 25.299999999999997
skipping specimen - no trm acquisition data mc217b1
skipping mc217b2 : no best
mc217c1 778 of 1046 Best = 35.9
skipping specimen - no trm acquisition data mc217c1
skipping mc217c2 : no best
mc217d1 780 of 1046 Best = 28.900000000000002
skipping specimen - no trm acquisition data mc217d1
skipping mc217d2 : no best
mc217e1 782 of 1046 Best = 34.400000000000006
skipping specimen - no trm acquisition data mc217e1
skipping mc217e2 : no best
mc218a1 784 of 1046 Best = 37.0
skipping specimen - no trm acquisition data mc218a1
skipping mc218a2 : no best
mc218b1 786 of 1046 Best = 33.4
skipping specimen - no trm acquisition data mc218b1
skipping mc218b2 : no best
mc218d1 788 of 1046 Best = 35.800000000000004
skipping specimen - no trm acquisition data mc218d1
skipping mc218d2 : no best
mc218i1 790 of 1046 Best = 30.5
skipping specimen - no trm acquisition data mc218i1
skipping mc218i2 : no best
mc218j1 792 of 1046 Best = 34.8
skipping specimen - no trm acquisition data mc218j1
skipping mc218j2 : no best
mc219a1 794 of 1046 Best = 33.4
skipping specimen - no trm acquisition data mc219a1
skipping mc219a2 : no best
mc219b1 796 of 1046 Best = 34.7
skipping specimen - no trm acquisition data mc219b1
skipping mc219b2 : no best
mc219c1 798 of 1046 Best = 27.7
skipping specimen - no trm acquisition data mc219c1
skipping mc219c2 : no best
mc219d1 800 of 1046 Best = 26.2
skipping specimen - no trm acquisition data mc219d1
skipping mc219d2 : no best
mc219e1 802 of 1046 Best = 33.599999999999994
skipping specimen - no trm acquisition data mc219e1
skipping mc219e2 : no best
mc21a 804 of 1046 Best = 48.300000000000004
skipping specimen - no trm acquisition data mc21a
mc21b 805 of 1046 Best = 44.5
skipping specimen - no trm acquisition data mc21b
mc21c 806 of 1046 Best = 46.9
skipping specimen - no trm acquisition data mc21c
skipping mc21d : no best
mc21e 808 of 1046 Best = 40.5
skipping specimen - no trm acquisition data mc21e
skipping mc21f : no best
skipping mc21g : no best
skipping mc21h : no best
mc220a1 812 of 1046 Best = 54.2
skipping specimen - no trm acquisition data mc220a1
skipping mc220a2 : no best
mc220b1 814 of 1046 Best = 54.9
skipping specimen - no trm acquisition data mc220b1
skipping mc220b2 : no best
mc220c1 816 of 1046 Best = 53.0
skipping specimen - no trm acquisition data mc220c1
skipping mc220c2 : no best
mc220d1 818 of 1046 Best = 55.099999999999994
skipping specimen - no trm acquisition data mc220d1
skipping mc220d2 : no best
mc220e1 820 of 1046 Best = 52.800000000000004
skipping specimen - no trm acquisition data mc220e1
skipping mc220f2 : no best
skipping mc221b1 : no best
skipping mc221c1 : no best
skipping mc221d2 : no best
skipping mc221h2 : no best
skipping mc221i2 : no best
skipping mc221j2 : no best
skipping mc222a1 : no best
mc222b1 829 of 1046 Best = 12.700000000000001
skipping specimen - no trm acquisition data mc222b1
skipping mc222c1 : no best
skipping mc222e1 : no best
skipping mc222h2 : no best
skipping mc222j2 : no best
mc223a1 834 of 1046 Best = 21.5
skipping specimen - no trm acquisition data mc223a1
skipping mc223a2 : no best
mc223b1 836 of 1046 Best = 21.5
skipping specimen - no trm acquisition data mc223b1
skipping mc223c1 : no best
mc223c2 838 of 1046 Best = 24.8
skipping specimen - no trm acquisition data mc223c2
skipping mc223d1 : no best
skipping mc223e1 : no best
skipping mc223f1 : no best
mc223g1 842 of 1046 Best = 18.3
skipping specimen - no trm acquisition data mc223g1
mc223l1 843 of 1046 Best = 16.5
skipping specimen - no trm acquisition data mc223l1
skipping mc224a1 : no best
skipping mc224b1 : no best
skipping mc224b2 : no best
skipping mc224c2 : no best
skipping mc224e2 : no best
skipping mc224f2 : no best
mc225a1 850 of 1046 Best = 25.5
skipping specimen - no trm acquisition data mc225a1
skipping mc225a2 : no best
mc225b1 852 of 1046 Best = 25.8
skipping specimen - no trm acquisition data mc225b1
mc225c1 853 of 1046 Best = 26.0
skipping specimen - no trm acquisition data mc225c1
skipping mc225c2 : no best
mc225d1 855 of 1046 Best = 30.4
skipping specimen - no trm acquisition data mc225d1
skipping mc225d2 : no best
skipping mc225f2 : no best
skipping mc225g2 : no best
mc225i1 859 of 1046 Best = 32.0
skipping specimen - no trm acquisition data mc225i1
skipping mc226a1 : no best
mc226b1 861 of 1046 Best = 25.299999999999997
skipping specimen - no trm acquisition data mc226b1
skipping mc226b2 : no best
skipping mc226d2 : no best
skipping mc226f2 : no best
skipping mc226g2 : no best
mc227b1 866 of 1046 Best = 14.9
skipping specimen - no trm acquisition data mc227b1
skipping mc227b2 : no best
skipping mc227c2 : no best
skipping mc227d2 : no best
skipping mc227f2 : no best
skipping mc227h2 : no best
mc228a1 872 of 1046 Best = 10.6
skipping specimen - no trm acquisition data mc228a1
skipping mc228a2 : no best
mc228b1 874 of 1046 Best = 10.6
skipping specimen - no trm acquisition data mc228b1
skipping mc228b2 : no best
mc228d1 876 of 1046 Best = 13.200000000000001
skipping specimen - no trm acquisition data mc228d1
skipping mc228d2 : no best
mc228e1 878 of 1046 Best = 12.3
skipping specimen - no trm acquisition data mc228e1
skipping mc228e2 : no best
mc228g1 880 of 1046 Best = 17.3
skipping specimen - no trm acquisition data mc228g1
skipping mc228g2 : no best
skipping mc229a2 : no best
skipping mc229b1 : no best
skipping mc229b2 : no best
skipping mc229e2 : no best
mc229g1 886 of 1046 Best = 34.199999999999996
skipping specimen - no trm acquisition data mc229g1
skipping mc229g2 : no best
mc229h1 888 of 1046 Best = 26.8
skipping specimen - no trm acquisition data mc229h1
skipping mc229h2 : no best
mc229i1 890 of 1046 Best = 30.4
skipping specimen - no trm acquisition data mc229i1
mc229k1 891 of 1046 Best = 32.7
skipping specimen - no trm acquisition data mc229k1
mc26a 892 of 1046 Best = 38.5
skipping specimen - no trm acquisition data mc26a
skipping mc26b : no best
mc26c 894 of 1046 Best = 22.799999999999997
skipping specimen - no trm acquisition data mc26c
mc26d 895 of 1046 Best = 32.5
skipping specimen - no trm acquisition data mc26d
mc26e 896 of 1046 Best = 58.400000000000006
skipping specimen - no trm acquisition data mc26e
skipping mc26f : no best
skipping mc26g : no best
skipping mc26h : no best
mc28a 900 of 1046 Best = 27.1
skipping specimen - no trm acquisition data mc28a
mc28b 901 of 1046 Best = 12.9
skipping specimen - no trm acquisition data mc28b
mc28c 902 of 1046 Best = 25.700000000000003
skipping specimen - no trm acquisition data mc28c
skipping mc28d : no best
skipping mc28e : no best
mc28f 905 of 1046 Best = 29.3
skipping specimen - no trm acquisition data mc28f
skipping mc28g : no best
skipping mc28h : no best
skipping mc29a : no best
skipping mc29b : no best
skipping mc29c : no best
mc29d 911 of 1046 Best = 30.4
skipping specimen - no trm acquisition data mc29d
skipping mc29e : no best
skipping mc29f : no best
skipping mc29g : no best
skipping mc29h : no best
mc30a 916 of 1046 Best = 42.8
skipping specimen - no trm acquisition data mc30a
mc30b 917 of 1046 Best = 42.2
skipping specimen - no trm acquisition data mc30b
skipping mc30c : no best
mc30d 919 of 1046 Best = 42.5
skipping specimen - no trm acquisition data mc30d
mc30e 920 of 1046 Best = 43.099999999999994
skipping specimen - no trm acquisition data mc30e
skipping mc30f : no best
skipping mc30g : no best
skipping mc30h : no best
mc31b 924 of 1046 Best = 14.0
skipping specimen - no trm acquisition data mc31b
skipping mc31c : no best
skipping mc31d : no best
skipping mc31f : no best
skipping mc31h : no best
mc32a 929 of 1046 Best = 29.4
skipping specimen - no trm acquisition data mc32a
mc32b 930 of 1046 Best = 32.1
skipping specimen - no trm acquisition data mc32b
skipping mc32c : no best
mc32d 932 of 1046 Best = 39.7
skipping specimen - no trm acquisition data mc32d
mc32e 933 of 1046 Best = 28.099999999999998
skipping specimen - no trm acquisition data mc32e
skipping mc32f : no best
skipping mc32g : no best
skipping mc32h : no best
skipping mc33a : no best
mc33b 938 of 1046 Best = 37.3
skipping specimen - no trm acquisition data mc33b
mc33c 939 of 1046 Best = 32.1
skipping specimen - no trm acquisition data mc33c
skipping mc33d : no best
mc33e 941 of 1046 Best = 32.3
skipping specimen - no trm acquisition data mc33e
skipping mc33f : no best
skipping mc33g : no best
skipping mc33h : no best
skipping mc34a : no best
skipping mc34b : no best
mc34c 947 of 1046 Best = 23.0
skipping specimen - no trm acquisition data mc34c
skipping mc34d : no best
skipping mc34e : no best
skipping mc34f : no best
skipping mc34h : no best
mc35a 952 of 1046 Best = 23.8
skipping specimen - no trm acquisition data mc35a
mc35b 953 of 1046 Best = 22.2
skipping specimen - no trm acquisition data mc35b
mc35c 954 of 1046 Best = 23.3
skipping specimen - no trm acquisition data mc35c
mc35d 955 of 1046 Best = 26.1
skipping specimen - no trm acquisition data mc35d
skipping mc35e : no best
skipping mc35f : no best
skipping mc35g : no best
skipping mc35h : no best
mc36a 960 of 1046 Best = 29.8
skipping specimen - no trm acquisition data mc36a
mc36b 961 of 1046 Best = 25.1
skipping specimen - no trm acquisition data mc36b
skipping mc36c : no best
skipping mc36d : no best
mc36e 964 of 1046 Best = 22.799999999999997
skipping specimen - no trm acquisition data mc36e
skipping mc36f : no best
skipping mc36g : no best
mc36h 967 of 1046 Best = 25.0
skipping specimen - no trm acquisition data mc36h
skipping mc37a : no best
skipping mc37b : no best
mc37c 970 of 1046 Best = 62.8
skipping specimen - no trm acquisition data mc37c
mc37d 971 of 1046 Best = 52.5
skipping specimen - no trm acquisition data mc37d
mc37e 972 of 1046 Best = 62.5
skipping specimen - no trm acquisition data mc37e
skipping mc37f : no best
skipping mc37g : no best
mc37h 975 of 1046 Best = 63.6
skipping specimen - no trm acquisition data mc37h
skipping mc38a : no best
skipping mc38b : no best
skipping mc38c : no best
skipping mc38e : no best
skipping mc38f : no best
mc38g 981 of 1046 Best = 28.4
skipping specimen - no trm acquisition data mc38g
skipping mc38h : no best
mc39a 983 of 1046 Best = 26.0
skipping specimen - no trm acquisition data mc39a
mc39b 984 of 1046 Best = 33.699999999999996
skipping specimen - no trm acquisition data mc39b
mc39c 985 of 1046 Best = 22.099999999999998
skipping specimen - no trm acquisition data mc39c
skipping mc39d : no best
skipping mc39e : no best
skipping mc39f : no best
skipping mc39g : no best
skipping mc39h : no best
skipping mc40a : no best
skipping mc40b : no best
skipping mc40c : no best
mc40e 994 of 1046 Best = 39.400000000000006
skipping specimen - no trm acquisition data mc40e
skipping mc40f : no best
skipping mc40g : no best
skipping mc40h : no best
skipping mc41a : no best
skipping mc41b : no best
skipping mc41c : no best
skipping mc41d : no best
skipping mc41e : no best
skipping mc41f : no best
skipping mc41h : no best
skipping mc42b : no best
skipping mc42c : no best
skipping mc42d : no best
skipping mc42f : no best
skipping mc42h : no best
skipping mc43a : no best
skipping mc43b : no best
skipping mc43c : no best
skipping mc43e : no best
mc43f 1014 of 1046 Best = 11.8
skipping specimen - no trm acquisition data mc43f
skipping mc43g : no best
mc44a 1016 of 1046 Best = 32.6
skipping specimen - no trm acquisition data mc44a
mc44b 1017 of 1046 Best = 25.0
skipping specimen - no trm acquisition data mc44b
skipping mc44c : no best
skipping mc44d : no best
skipping mc44e : no best
skipping mc44f : no best
mc44g 1022 of 1046 Best = 12.0
skipping specimen - no trm acquisition data mc44g
mc44h 1023 of 1046 Best = 17.0
skipping specimen - no trm acquisition data mc44h
skipping mc48a : no best
skipping mc48b : no best
skipping mc48c : no best
skipping mc48d : no best
skipping mc48e : no best
mc48f 1029 of 1046 Best = 15.400000000000002
skipping specimen - no trm acquisition data mc48f
mc48g 1030 of 1046 Best = 15.0
skipping specimen - no trm acquisition data mc48g
skipping mc48h : no best
skipping mc49a : no best
skipping mc49b : no best
skipping mc49c : no best
skipping mc49d : no best
skipping mc49e : no best
skipping mc49g : no best
skipping mc49h : no best
mc50a 1039 of 1046 Best = 35.7
skipping specimen - no trm acquisition data mc50a
mc50b 1040 of 1046 Best = 34.0
skipping specimen - no trm acquisition data mc50b
skipping mc50c : no best
skipping mc50d : no best
mc50e 1043 of 1046 Best = 34.0
skipping specimen - no trm acquisition data mc50e
mc50f 1044 of 1046 Best = 31.2
skipping specimen - no trm acquisition data mc50f
skipping mc50g : no best
skipping mc50h : no best
6 records written to file NLT_specimens.txt
In [228]:
Image("mc117b1_TRM.png")
Out[228]:
In [229]:
!rm mc117b1_TRM.png
!trmaq_magic.py -ft data_files/2_5/McMurdo/pmag_specimens.txt \
-f data_files/2_5/McMurdo/magic_measurements.txt -sav -fmt png -DM 2
mc01a 1 of 1046 Best = 13.481
skipping specimen - no trm acquisition data mc01a
mc01b 2 of 1046 Best = 13.85
skipping specimen - no trm acquisition data mc01b
skipping mc01c : no best
mc01d 4 of 1046 Best = 18.708000000000002
skipping specimen - no trm acquisition data mc01d
skipping mc01e : no best
skipping mc01f : no best
mc01g 7 of 1046 Best = 20.125
skipping specimen - no trm acquisition data mc01g
skipping mc01h : no best
skipping mc02a : no best
skipping mc02b : no best
skipping mc02c : no best
skipping mc02e : no best
mc02f 13 of 1046 Best = 16.748
skipping specimen - no trm acquisition data mc02f
skipping mc02g : no best
skipping mc02h : no best
skipping mc03a : no best
skipping mc03b : no best
skipping mc03c : no best
skipping mc03d : no best
skipping mc03f : no best
skipping mc03h : no best
skipping mc04a : no best
skipping mc04b : no best
skipping mc04c-1 : no best
skipping mc04e : no best
skipping mc04f : no best
skipping mc04g : no best
skipping mc04h : no best
skipping mc06a : no best
skipping mc06c : no best
skipping mc06d : no best
skipping mc06g : no best
mc06h 33 of 1046 Best = 27.673000000000002
skipping specimen - no trm acquisition data mc06h
skipping mc07b : no best
skipping mc07c : no best
skipping mc07d : no best
skipping mc07e : no best
skipping mc07f : no best
mc08a 39 of 1046 Best = 44.894
skipping specimen - no trm acquisition data mc08a
mc08b 40 of 1046 Best = 41.879
skipping specimen - no trm acquisition data mc08b
skipping mc08c : no best
skipping mc08d : no best
skipping mc08e : no best
skipping mc08f : no best
mc08g 45 of 1046 Best = 43.302
skipping specimen - no trm acquisition data mc08g
mc08h 46 of 1046 Best = 43.998000000000005
skipping specimen - no trm acquisition data mc08h
mc09a 47 of 1046 Best = 27.135
skipping specimen - no trm acquisition data mc09a
mc09b 48 of 1046 Best = 26.078999999999997
skipping specimen - no trm acquisition data mc09b
skipping mc09c : no best
mc09d 50 of 1046 Best = 28.092000000000002
skipping specimen - no trm acquisition data mc09d
skipping mc09e : no best
skipping mc09f : no best
skipping mc09g : no best
skipping mc09h : no best
skipping mc100a1 : no best
skipping mc100d1 : no best
skipping mc100e1 : no best
skipping mc100e2 : no best
skipping mc100f2 : no best
skipping mc100g1 : no best
skipping mc100g2 : no best
skipping mc100h2 : no best
skipping mc101a1 : no best
skipping mc101b1 : no best
skipping mc101c1 : no best
skipping mc101d1 : no best
skipping mc101f1 : no best
skipping mc101h1 : no best
skipping mc102a1 : no best
skipping mc102a2 : no best
skipping mc102b1 : no best
skipping mc102b2 : no best
skipping mc102e1 : no best
skipping mc102f1 : no best
skipping mc102g1 : no best
skipping mc102m2 : no best
skipping mc103a1 : no best
skipping mc103a2 : no best
skipping mc103b1 : no best
skipping mc103b2 : no best
skipping mc103c1 : no best
skipping mc103c2 : no best
skipping mc103d1 : no best
skipping mc103d2 : no best
mc103e1 85 of 1046 Best = 21.005
skipping specimen - no trm acquisition data mc103e1
skipping mc103e2 : no best
skipping mc104a1 : no best
skipping mc104b1 : no best
skipping mc104b2 : no best
skipping mc104c1 : no best
skipping mc104c2 : no best
skipping mc104d1 : no best
skipping mc104f1 : no best
skipping mc105a1 : no best
mc105a2 95 of 1046 Best = 27.07
skipping specimen - no trm acquisition data mc105a2
mc105c1 96 of 1046 Best = 28.4
skipping specimen - no trm acquisition data mc105c1
mc105d1 97 of 1046 Best = 27.636000000000003
skipping specimen - no trm acquisition data mc105d1
skipping mc105f1 : no best
skipping mc105g1 : no best
skipping mc105h1 : no best
mc105j1 101 of 1046 Best = 31.377000000000002
skipping specimen - no trm acquisition data mc105j1
skipping mc106a1 : no best
skipping mc106b1 : no best
skipping mc106c1 : no best
skipping mc106d1 : no best
skipping mc106e1 : no best
skipping mc107c1 : no best
skipping mc107d2 : no best
skipping mc107e1 : no best
mc107e2 110 of 1046 Best = 15.24
skipping specimen - no trm acquisition data mc107e2
skipping mc107h1 : no best
skipping mc107k1 : no best
skipping mc107l1 : no best
skipping mc108a1 : no best
skipping mc108a2 : no best
skipping mc108b1 : no best
skipping mc108c1 : no best
skipping mc108d1 : no best
skipping mc108g2 : no best
skipping mc108h1 : no best
skipping mc108k1 : no best
mc109a1 122 of 1046 Best = 35.957
skipping specimen - no trm acquisition data mc109a1
skipping mc109a2 : no best
mc109c1 124 of 1046 Best = 34.801
skipping specimen - no trm acquisition data mc109c1
mc109d1 125 of 1046 Best = 33.654
skipping specimen - no trm acquisition data mc109d1
mc109e1 126 of 1046 Best = 30.343
skipping specimen - no trm acquisition data mc109e1
skipping mc109i1 : no best
mc10a 128 of 1046 Best = 29.544
skipping specimen - no trm acquisition data mc10a
mc10b 129 of 1046 Best = 29.657
skipping specimen - no trm acquisition data mc10b
skipping mc10c : no best
mc10d 131 of 1046 Best = 37.372
skipping specimen - no trm acquisition data mc10d
skipping mc10e : no best
skipping mc10f : no best
skipping mc10g : no best
skipping mc10h : no best
skipping mc110a1 : no best
skipping mc110a2 : no best
skipping mc110b1 : no best
skipping mc110b2 : no best
skipping mc110d1 : no best
skipping mc110g1 : no best
skipping mc110i1 : no best
skipping mc111a2 : no best
skipping mc111b1 : no best
skipping mc111d1 : no best
mc111d2 146 of 1046 Best = 27.594
skipping specimen - no trm acquisition data mc111d2
skipping mc111e1 : no best
mc111e2 148 of 1046 Best = 28.201999999999998
skipping specimen - no trm acquisition data mc111e2
skipping mc111f1 : no best
skipping mc111l1 : no best
skipping mc112a1 : no best
skipping mc112b2 : no best
skipping mc112c1 : no best
skipping mc112c2 : no best
skipping mc112d1 : no best
skipping mc112g1 : no best
skipping mc112h3 : no best
skipping mc112j1 : no best
skipping mc113a1 : no best
skipping mc113a1-1 : no best
mc113a2 161 of 1046 Best = 10.962
skipping specimen - no trm acquisition data mc113a2
skipping mc113b1 : no best
skipping mc113c1 : no best
skipping mc113e1 : no best
skipping mc113f1 : no best
skipping mc113g1 : no best
skipping mc113h1 : no best
mc113j1 168 of 1046 Best = 11.495
skipping specimen - no trm acquisition data mc113j1
mc113m1 169 of 1046 Best = 12.136999999999999
skipping specimen - no trm acquisition data mc113m1
skipping mc114a1 : no best
skipping mc114b2 : no best
skipping mc114c1 : no best
skipping mc114d2 : no best
skipping mc114e1 : no best
skipping mc114i1 : no best
skipping mc115a1 : no best
mc115a2 177 of 1046 Best = 24.91
skipping specimen - no trm acquisition data mc115a2
mc115b1 178 of 1046 Best = 24.302
skipping specimen - no trm acquisition data mc115b1
mc115e1 179 of 1046 Best = 24.723
skipping specimen - no trm acquisition data mc115e1
skipping mc115g2 : no best
skipping mc115h1 : no best
skipping mc116a1 : no best
mc116b1 183 of 1046 Best = 38.525
skipping specimen - no trm acquisition data mc116b1
skipping mc116c1 : no best
skipping mc116i2 : no best
mc116j2 186 of 1046 Best = 41.015
skipping specimen - no trm acquisition data mc116j2
mc117a1 187 of 1046 Best = 25.500999999999998
skipping specimen - no trm acquisition data mc117a1
skipping mc117a2 : no best
skipping mc117a2-1 : no best
mc117b1 190 of 1046 Best = 26.183999999999997
Optimization terminated successfully.
Current function value: 0.000000
Iterations: 111
Function evaluations: 209
Optimization terminated successfully.
Current function value: 0.000000
Iterations: 49
Function evaluations: 92
Banc= 26.19814668726823
1 saved in mc117b1_TRM.png
mc117d2 191 of 1046 Best = 26.787999999999997
skipping specimen - no trm acquisition data mc117d2
mc117e2 192 of 1046 Best = 27.157
skipping specimen - no trm acquisition data mc117e2
skipping mc117h1 : no best
skipping mc118a1 : no best
skipping mc118c1 : no best
skipping mc118d1 : no best
skipping mc118e1 : no best
skipping mc118f1 : no best
skipping mc118i1 : no best
skipping mc118l2 : no best
mc119a1 201 of 1046 Best = 42.403
skipping specimen - no trm acquisition data mc119a1
mc119b1 202 of 1046 Best = 43.595
skipping specimen - no trm acquisition data mc119b1
skipping mc119b2 : no best
mc119d2 204 of 1046 Best = 39.053
skipping specimen - no trm acquisition data mc119d2
mc119e2 205 of 1046 Best = 40.25
skipping specimen - no trm acquisition data mc119e2
mc119f2 206 of 1046 Best = 39.545
skipping specimen - no trm acquisition data mc119f2
skipping mc11a : no best
mc11b 208 of 1046 Best = 48.107
skipping specimen - no trm acquisition data mc11b
mc11c 209 of 1046 Best = 51.424
skipping specimen - no trm acquisition data mc11c
skipping mc11d : no best
mc11e 211 of 1046 Best = 30.31
skipping specimen - no trm acquisition data mc11e
skipping mc11f : no best
skipping mc11g : no best
mc11h 214 of 1046 Best = 22.828
skipping specimen - no trm acquisition data mc11h
mc120a1 215 of 1046 Best = 24.746
skipping specimen - no trm acquisition data mc120a1
skipping mc120a2 : no best
skipping mc120a2-1 : no best
mc120b1 218 of 1046 Best = 24.698999999999998
skipping specimen - no trm acquisition data mc120b1
mc120b2 219 of 1046 Best = 24.973
skipping specimen - no trm acquisition data mc120b2
mc120c1 220 of 1046 Best = 23.945
Optimization terminated successfully.
Current function value: 0.000000
Iterations: 121
Function evaluations: 227
Optimization terminated successfully.
Current function value: 0.000000
Iterations: 46
Function evaluations: 90
Banc= 23.934316018697352
1 saved in mc120c1_TRM.png
mc120f1 221 of 1046 Best = 23.220000000000002
skipping specimen - no trm acquisition data mc120f1
skipping mc120j2 : no best
skipping mc120l1 : no best
skipping mc120m2 : no best
skipping mc121a1 : no best
mc121c1 226 of 1046 Best = 11.995
skipping specimen - no trm acquisition data mc121c1
skipping mc121c3 : no best
mc121d1 228 of 1046 Best = 24.039
skipping specimen - no trm acquisition data mc121d1
skipping mc121d2 : no best
mc121e1 230 of 1046 Best = 28.165
skipping specimen - no trm acquisition data mc121e1
skipping mc121e2 : no best
mc121f2 232 of 1046 Best = 20.479000000000003
skipping specimen - no trm acquisition data mc121f2
mc121g1 233 of 1046 Best = 34.742
skipping specimen - no trm acquisition data mc121g1
skipping mc121i1 : no best
mc121k1 235 of 1046 Best = 27.452
skipping specimen - no trm acquisition data mc121k1
mc121k2 236 of 1046 Best = 25.778
skipping specimen - no trm acquisition data mc121k2
skipping mc122a1 : no best
skipping mc122b1 : no best
skipping mc122c1 : no best
skipping mc122d1 : no best
skipping mc122f1 : no best
skipping mc122g1 : no best
skipping mc122k2 : no best
skipping mc122l1 : no best
skipping mc123a1 : no best
mc123a2 246 of 1046 Best = 33.027
skipping specimen - no trm acquisition data mc123a2
mc123b1 247 of 1046 Best = 27.64
skipping specimen - no trm acquisition data mc123b1
mc123b2 248 of 1046 Best = 30.2
skipping specimen - no trm acquisition data mc123b2
skipping mc123c2 : no best
mc123c3 250 of 1046 Best = 29.289
skipping specimen - no trm acquisition data mc123c3
skipping mc123f1 : no best
skipping mc123j1 : no best
mc124a1 253 of 1046 Best = 23.563000000000002
skipping specimen - no trm acquisition data mc124a1
skipping mc124d1 : no best
mc124d2 255 of 1046 Best = 19.270999999999997
skipping specimen - no trm acquisition data mc124d2
skipping mc124f1 : no best
skipping mc124g1 : no best
skipping mc124h1 : no best
skipping mc124j1 : no best
skipping mc124l1 : no best
skipping mc125a1 : no best
skipping mc125b1 : no best
skipping mc125c1 : no best
mc125d1 264 of 1046 Best = 6.071
skipping specimen - no trm acquisition data mc125d1
mc125e1 265 of 1046 Best = 5.1383
skipping specimen - no trm acquisition data mc125e1
skipping mc125e3 : no best
skipping mc125g1 : no best
mc125i1 268 of 1046 Best = 25.918000000000003
skipping specimen - no trm acquisition data mc125i1
skipping mc125m1 : no best
skipping mc126a2 : no best
skipping mc126c1 : no best
skipping mc126c2 : no best
skipping mc126d1 : no best
skipping mc126e1 : no best
skipping mc126f1 : no best
skipping mc126g1 : no best
skipping mc126i1 : no best
skipping mc127a1 : no best
mc127a2 279 of 1046 Best = 39.562
skipping specimen - no trm acquisition data mc127a2
skipping mc127b1 : no best
mc127c1 281 of 1046 Best = 37.410000000000004
skipping specimen - no trm acquisition data mc127c1
mc127d1 282 of 1046 Best = 36.535999999999994
skipping specimen - no trm acquisition data mc127d1
skipping mc127f1 : no best
skipping mc127g2 : no best
skipping mc127i1 : no best
skipping mc128b1 : no best
mc128b2 287 of 1046 Best = 32.681000000000004
skipping specimen - no trm acquisition data mc128b2
mc128c2 288 of 1046 Best = 37.394
skipping specimen - no trm acquisition data mc128c2
skipping mc128d1 : no best
skipping mc128e1 : no best
skipping mc128e2 : no best
skipping mc128f1 : no best
skipping mc128h1 : no best
mc128j1 294 of 1046 Best = 32.797
skipping specimen - no trm acquisition data mc128j1
skipping mc129a1 : no best
skipping mc129a1-1 : no best
skipping mc129a2 : no best
mc129b1 298 of 1046 Best = 49.913000000000004
skipping specimen - no trm acquisition data mc129b1
mc129c1 299 of 1046 Best = 48.964
skipping specimen - no trm acquisition data mc129c1
skipping mc129c2 : no best
skipping mc129f1 : no best
skipping mc129h2 : no best
skipping mc129j1 : no best
mc129l1 304 of 1046 Best = 18.143
skipping specimen - no trm acquisition data mc129l1
mc130a1 305 of 1046 Best = 29.331
skipping specimen - no trm acquisition data mc130a1
skipping mc130a2 : no best
skipping mc130b1 : no best
mc130d1 308 of 1046 Best = 21.107
skipping specimen - no trm acquisition data mc130d1
skipping mc130e1 : no best
skipping mc130g2 : no best
mc130h1 311 of 1046 Best = 17.167
skipping specimen - no trm acquisition data mc130h1
skipping mc130i2 : no best
skipping mc130j2 : no best
skipping mc131a3 : no best
mc131b1 315 of 1046 Best = 16.139
skipping specimen - no trm acquisition data mc131b1
mc131c2 316 of 1046 Best = 16.846
skipping specimen - no trm acquisition data mc131c2
mc131d2 317 of 1046 Best = 16.157
skipping specimen - no trm acquisition data mc131d2
mc131e1 318 of 1046 Best = 16.517000000000003
skipping specimen - no trm acquisition data mc131e1
skipping mc131f1 : no best
mc131g1 320 of 1046 Best = 18.297
skipping specimen - no trm acquisition data mc131g1
skipping mc131k1 : no best
skipping mc132a1 : no best
skipping mc132c1 : no best
skipping mc132d1 : no best
skipping mc132e1 : no best
mc132e2 326 of 1046 Best = 3.4638
Optimization terminated successfully.
Current function value: 0.000000
Iterations: 96
Function evaluations: 182
Optimization terminated successfully.
Current function value: 0.000000
Iterations: 49
Function evaluations: 92
Banc= 3.425136053903088
1 saved in mc132e2_TRM.png
mc132f2 327 of 1046 Best = 3.269
skipping specimen - no trm acquisition data mc132f2
mc132g2 328 of 1046 Best = 3.2830000000000004
Optimization terminated successfully.
Current function value: 0.000000
Iterations: 93
Function evaluations: 174
Optimization terminated successfully.
Current function value: 0.000000
Iterations: 48
Function evaluations: 91
Banc= 3.255651982663153
1 saved in mc132g2_TRM.png
mc132h2 329 of 1046 Best = 3.1635
skipping specimen - no trm acquisition data mc132h2
mc132i2 330 of 1046 Best = 3.4481
skipping specimen - no trm acquisition data mc132i2
mc132j1 331 of 1046 Best = 3.0716
skipping specimen - no trm acquisition data mc132j1
skipping mc132j2 : no best
mc132k1 333 of 1046 Best = 3.3592
skipping specimen - no trm acquisition data mc132k1
skipping mc132l1 : no best
skipping mc133b2 : no best
skipping mc133d1 : no best
mc133f1 337 of 1046 Best = 43.854
skipping specimen - no trm acquisition data mc133f1
skipping mc133f2 : no best
mc133g1 339 of 1046 Best = 48.738
skipping specimen - no trm acquisition data mc133g1
skipping mc133h1 : no best
skipping mc133j1 : no best
mc133l1 342 of 1046 Best = 47.263
skipping specimen - no trm acquisition data mc133l1
skipping mc134a1 : no best
skipping mc134c1 : no best
mc134c2 345 of 1046 Best = 18.596
skipping specimen - no trm acquisition data mc134c2
skipping mc134e1 : no best
mc134f1 347 of 1046 Best = 2.1912
skipping specimen - no trm acquisition data mc134f1
skipping mc134k1 : no best
mc135a1 349 of 1046 Best = 35.534
skipping specimen - no trm acquisition data mc135a1
skipping mc135b1 : no best
mc135c2 351 of 1046 Best = 41.081
skipping specimen - no trm acquisition data mc135c2
skipping mc135d2 : no best
mc135e1 353 of 1046 Best = 11.516
skipping specimen - no trm acquisition data mc135e1
skipping mc135e2 : no best
skipping mc135h2 : no best
skipping mc135i2 : no best
skipping mc136a1 : no best
mc136a2 358 of 1046 Best = 1.4154
skipping specimen - no trm acquisition data mc136a2
skipping mc136c1 : no best
skipping mc136d1 : no best
skipping mc136d2 : no best
skipping mc136e1 : no best
skipping mc136g1 : no best
skipping mc136h2 : no best
skipping mc136i1 : no best
skipping mc136i2 : no best
skipping mc137a1 : no best
skipping mc137d1 : no best
skipping mc137h1 : no best
skipping mc137j2 : no best
skipping mc137l1 : no best
skipping mc138a1 : no best
skipping mc138b1 : no best
skipping mc138d1 : no best
skipping mc138g1 : no best
skipping mc138h1 : no best
mc139a1 377 of 1046 Best = 5.361199999999999
skipping specimen - no trm acquisition data mc139a1
skipping mc139a2 : no best
mc139c1 379 of 1046 Best = 19.758999999999997
skipping specimen - no trm acquisition data mc139c1
skipping mc139d1 : no best
skipping mc139e1 : no best
skipping mc139h1 : no best
skipping mc139j2 : no best
mc13a 384 of 1046 Best = 28.479
skipping specimen - no trm acquisition data mc13a
mc13b 385 of 1046 Best = 29.978
skipping specimen - no trm acquisition data mc13b
mc13c 386 of 1046 Best = 32.768
skipping specimen - no trm acquisition data mc13c
mc13d 387 of 1046 Best = 31.644
skipping specimen - no trm acquisition data mc13d
skipping mc13e : no best
skipping mc13f : no best
skipping mc13g : no best
skipping mc13h : no best
mc140a1 392 of 1046 Best = 19.148999999999997
skipping specimen - no trm acquisition data mc140a1
mc140b1 393 of 1046 Best = 13.743
skipping specimen - no trm acquisition data mc140b1
mc140c1 394 of 1046 Best = 17.194
skipping specimen - no trm acquisition data mc140c1
mc140d1 395 of 1046 Best = 19.745
skipping specimen - no trm acquisition data mc140d1
skipping mc140e1 : no best
skipping mc140g1 : no best
skipping mc140h1 : no best
skipping mc140j1 : no best
skipping mc141b1 : no best
skipping mc141b2 : no best
skipping mc141c1 : no best
skipping mc141g1 : no best
skipping mc141h3 : no best
skipping mc141k2 : no best
skipping mc141l1 : no best
skipping mc142b2 : no best
mc142c1 408 of 1046 Best = 14.822
skipping specimen - no trm acquisition data mc142c1
skipping mc142c2 : no best
mc142d1 410 of 1046 Best = 13.381
skipping specimen - no trm acquisition data mc142d1
skipping mc142e1 : no best
mc142e2 412 of 1046 Best = 14.322
skipping specimen - no trm acquisition data mc142e2
mc142f2 413 of 1046 Best = 14.242
skipping specimen - no trm acquisition data mc142f2
skipping mc142i2 : no best
skipping mc142k1 : no best
mc142k2 416 of 1046 Best = 18.681
skipping specimen - no trm acquisition data mc142k2
skipping mc143a1 : no best
skipping mc143b1 : no best
skipping mc143c1 : no best
skipping mc143d2 : no best
skipping mc143g1 : no best
skipping mc143h1 : no best
skipping mc143i1 : no best
skipping mc144a1 : no best
skipping mc144b1 : no best
skipping mc144d1 : no best
mc144e1 427 of 1046 Best = 19.681
skipping specimen - no trm acquisition data mc144e1
mc144f1 428 of 1046 Best = 18.217
skipping specimen - no trm acquisition data mc144f1
mc144h1 429 of 1046 Best = 6.6641
skipping specimen - no trm acquisition data mc144h1
skipping mc144h2 : no best
skipping mc144j1 : no best
mc144j2 432 of 1046 Best = 19.352
skipping specimen - no trm acquisition data mc144j2
mc144k1 433 of 1046 Best = 12.438
skipping specimen - no trm acquisition data mc144k1
skipping mc145b1 : no best
skipping mc145c1 : no best
mc145c2 436 of 1046 Best = 6.683400000000001
skipping specimen - no trm acquisition data mc145c2
mc145f1 437 of 1046 Best = 7.2109
skipping specimen - no trm acquisition data mc145f1
skipping mc145i1 : no best
skipping mc145j1 : no best
mc145k2 440 of 1046 Best = 6.9291
skipping specimen - no trm acquisition data mc145k2
mc145l1 441 of 1046 Best = 6.9441
skipping specimen - no trm acquisition data mc145l1
skipping mc146a1 : no best
skipping mc146d1 : no best
mc146e1 444 of 1046 Best = 16.706
skipping specimen - no trm acquisition data mc146e1
mc146f1 445 of 1046 Best = 17.708000000000002
skipping specimen - no trm acquisition data mc146f1
skipping mc146h1 : no best
skipping mc146i2 : no best
skipping mc146j1 : no best
mc146j2 449 of 1046 Best = 6.4207
skipping specimen - no trm acquisition data mc146j2
skipping mc146k1 : no best
mc147a1 451 of 1046 Best = 26.443
skipping specimen - no trm acquisition data mc147a1
skipping mc147c1 : no best
mc147i1 453 of 1046 Best = 22.483
skipping specimen - no trm acquisition data mc147i1
mc147j2 454 of 1046 Best = 21.160999999999998
skipping specimen - no trm acquisition data mc147j2
mc147k2 455 of 1046 Best = 20.988
skipping specimen - no trm acquisition data mc147k2
skipping mc148a1 : no best
skipping mc148b1 : no best
skipping mc148c1 : no best
mc148d1 459 of 1046 Best = 53.363
skipping specimen - no trm acquisition data mc148d1
skipping mc148f1 : no best
mc148i1 461 of 1046 Best = 50.638
skipping specimen - no trm acquisition data mc148i1
mc148j1 462 of 1046 Best = 50.693
skipping specimen - no trm acquisition data mc148j1
skipping mc148k1 : no best
skipping mc149a1 : no best
skipping mc149b1 : no best
skipping mc149d1 : no best
skipping mc149e1 : no best
skipping mc149g1 : no best
skipping mc14a : no best
mc14b 470 of 1046 Best = 70.667
skipping specimen - no trm acquisition data mc14b
mc14c 471 of 1046 Best = 39.543
skipping specimen - no trm acquisition data mc14c
mc14d 472 of 1046 Best = 54.568999999999996
skipping specimen - no trm acquisition data mc14d
skipping mc14e : no best
skipping mc14f : no best
skipping mc14g : no best
mc14h 476 of 1046 Best = 83.116
skipping specimen - no trm acquisition data mc14h
skipping mc150b1 : no best
skipping mc150c1 : no best
skipping mc150e1 : no best
skipping mc150f1 : no best
skipping mc150g1 : no best
skipping mc152a1 : no best
skipping mc152b1 : no best
skipping mc152b2 : no best
skipping mc152c1 : no best
skipping mc152e1 : no best
skipping mc152g1 : no best
skipping mc152i1 : no best
skipping mc152k1 : no best
mc153a1 490 of 1046 Best = 29.753
skipping specimen - no trm acquisition data mc153a1
skipping mc153a2 : no best
mc153c1 492 of 1046 Best = 34.485
skipping specimen - no trm acquisition data mc153c1
skipping mc153e1 : no best
skipping mc153i1 : no best
skipping mc153j1 : no best
skipping mc153m1 : no best
skipping mc154a1 : no best
mc154a2 498 of 1046 Best = 8.6446
skipping specimen - no trm acquisition data mc154a2
skipping mc154b1 : no best
skipping mc154e1 : no best
skipping mc154f1 : no best
skipping mc154h1 : no best
mc154j2 503 of 1046 Best = 7.2961
skipping specimen - no trm acquisition data mc154j2
skipping mc155a1 : no best
skipping mc155b1 : no best
mc155c1 506 of 1046 Best = 34.239999999999995
skipping specimen - no trm acquisition data mc155c1
skipping mc155e2 : no best
skipping mc155g1 : no best
mc155h1 509 of 1046 Best = 26.489
skipping specimen - no trm acquisition data mc155h1
skipping mc155i1 : no best
mc155m1 511 of 1046 Best = 26.058999999999997
skipping specimen - no trm acquisition data mc155m1
skipping mc156a1 : no best
skipping mc156b1 : no best
skipping mc156c1 : no best
skipping mc156c2 : no best
skipping mc156f1 : no best
skipping mc156g1 : no best
skipping mc156h1 : no best
skipping mc156i1 : no best
skipping mc157a1 : no best
skipping mc157a2 : no best
skipping mc157b1 : no best
skipping mc157b2 : no best
mc157c2 524 of 1046 Best = 20.226
skipping specimen - no trm acquisition data mc157c2
skipping mc157e2 : no best
skipping mc157f1 : no best
skipping mc157j1 : no best
skipping mc157k1 : no best
mc158a1 529 of 1046 Best = 4.6788
skipping specimen - no trm acquisition data mc158a1
mc158b1 530 of 1046 Best = 4.5188
skipping specimen - no trm acquisition data mc158b1
skipping mc158b2 : no best
skipping mc158c1 : no best
skipping mc158d1 : no best
skipping mc158f1 : no best
skipping mc158h1 : no best
mc15a 536 of 1046 Best = 24.686
skipping specimen - no trm acquisition data mc15a
mc15b 537 of 1046 Best = 27.087
skipping specimen - no trm acquisition data mc15b
mc15c 538 of 1046 Best = 30.926999999999996
skipping specimen - no trm acquisition data mc15c
mc15c2 539 of 1046 Best = 29.088
skipping specimen - no trm acquisition data mc15c2
skipping mc15d : no best
skipping mc15e : no best
skipping mc15f : no best
skipping mc15g : no best
mc15h 544 of 1046 Best = 26.051
skipping specimen - no trm acquisition data mc15h
mc160a1 545 of 1046 Best = 20.888
skipping specimen - no trm acquisition data mc160a1
skipping mc160a2 : no best
skipping mc160b1 : no best
skipping mc160c1 : no best
mc160e1 549 of 1046 Best = 22.147
skipping specimen - no trm acquisition data mc160e1
skipping mc160e2 : no best
mc160f2 551 of 1046 Best = 22.721
skipping specimen - no trm acquisition data mc160f2
skipping mc160h2 : no best
skipping mc160j1 : no best
skipping mc160j2 : no best
skipping mc161a1 : no best
mc161b1 556 of 1046 Best = 5.8015
skipping specimen - no trm acquisition data mc161b1
skipping mc161e1 : no best
skipping mc161f1 : no best
mc161g1 559 of 1046 Best = 4.0994
skipping specimen - no trm acquisition data mc161g1
skipping mc161j1 : no best
skipping mc161k1 : no best
mc162b1 562 of 1046 Best = 7.2924
skipping specimen - no trm acquisition data mc162b1
skipping mc162b2 : no best
mc162c1 564 of 1046 Best = 8.4226
skipping specimen - no trm acquisition data mc162c1
skipping mc162f1 : no best
skipping mc162g1 : no best
skipping mc162i1 : no best
skipping mc162j1 : no best
skipping mc163a1 : no best
skipping mc163b1 : no best
skipping mc163c1 : no best
skipping mc163d1 : no best
skipping mc163e1 : no best
skipping mc163f1 : no best
skipping mc163h1 : no best
skipping mc164a1 : no best
skipping mc164a2 : no best
skipping mc164a2-1 : no best
skipping mc164b1 : no best
mc164c1 580 of 1046 Best = 81.363
skipping specimen - no trm acquisition data mc164c1
mc164f1 581 of 1046 Best = 81.241
skipping specimen - no trm acquisition data mc164f1
skipping mc164g2 : no best
skipping mc164h1 : no best
skipping mc164i1 : no best
mc164j1 585 of 1046 Best = 81.264
skipping specimen - no trm acquisition data mc164j1
skipping mc164l2 : no best
skipping mc165a1 : no best
mc165b1 588 of 1046 Best = 26.206
skipping specimen - no trm acquisition data mc165b1
skipping mc165b2 : no best
mc165c1 590 of 1046 Best = 24.218
skipping specimen - no trm acquisition data mc165c1
skipping mc165c2 : no best
skipping mc165g1 : no best
mc165h2 593 of 1046 Best = 26.373
skipping specimen - no trm acquisition data mc165h2
mc165i2 594 of 1046 Best = 28.343
skipping specimen - no trm acquisition data mc165i2
skipping mc166a1 : no best
mc166b1 596 of 1046 Best = 26.264000000000003
skipping specimen - no trm acquisition data mc166b1
skipping mc166b2 : no best
mc166c1 598 of 1046 Best = 21.977
skipping specimen - no trm acquisition data mc166c1
skipping mc166c2 : no best
mc166h2 600 of 1046 Best = 30.433
skipping specimen - no trm acquisition data mc166h2
skipping mc166i1 : no best
mc166i2 602 of 1046 Best = 37.746
skipping specimen - no trm acquisition data mc166i2
skipping mc167a1 : no best
mc167b1 604 of 1046 Best = 44.757
skipping specimen - no trm acquisition data mc167b1
mc167d2 605 of 1046 Best = 42.894
skipping specimen - no trm acquisition data mc167d2
skipping mc167e1 : no best
mc167e2 607 of 1046 Best = 42.548
skipping specimen - no trm acquisition data mc167e2
skipping mc167f2 : no best
skipping mc167h1 : no best
skipping mc167j1 : no best
mc167k1 611 of 1046 Best = 42.723
skipping specimen - no trm acquisition data mc167k1
mc168a1 612 of 1046 Best = 5.8325
skipping specimen - no trm acquisition data mc168a1
skipping mc168c1 : no best
mc168c2 614 of 1046 Best = 5.259200000000001
skipping specimen - no trm acquisition data mc168c2
mc168d1 615 of 1046 Best = 5.896
skipping specimen - no trm acquisition data mc168d1
mc168f1 616 of 1046 Best = 5.4868
skipping specimen - no trm acquisition data mc168f1
skipping mc168h1 : no best
mc168h2 618 of 1046 Best = 5.2021
skipping specimen - no trm acquisition data mc168h2
skipping mc168i1 : no best
skipping mc168j1 : no best
skipping mc168k1 : no best
skipping mc170a1 : no best
skipping mc170c2 : no best
skipping mc170d1 : no best
skipping mc170e2 : no best
skipping mc170f1 : no best
skipping mc19a : no best
mc19b 628 of 1046 Best = 25.184
skipping specimen - no trm acquisition data mc19b
skipping mc19c : no best
skipping mc19d : no best
skipping mc19e : no best
skipping mc19f : no best
skipping mc19g : no best
skipping mc200a1 : no best
skipping mc200a2 : no best
mc200b1 636 of 1046 Best = 15.245000000000001
skipping specimen - no trm acquisition data mc200b1
skipping mc200b2 : no best
mc200c1 638 of 1046 Best = 14.75
skipping specimen - no trm acquisition data mc200c1
skipping mc200c2 : no best
mc200d1 640 of 1046 Best = 11.645
skipping specimen - no trm acquisition data mc200d1
skipping mc200d2 : no best
mc200h1 642 of 1046 Best = 9.898299999999999
skipping specimen - no trm acquisition data mc200h1
mc200i1 643 of 1046 Best = 12.924
skipping specimen - no trm acquisition data mc200i1
skipping mc201a1 : no best
mc201b1 645 of 1046 Best = 4.6811
skipping specimen - no trm acquisition data mc201b1
skipping mc201b2 : no best
skipping mc201c1 : no best
skipping mc201d1 : no best
skipping mc201e1 : no best
skipping mc201j1 : no best
skipping mc202a1 : no best
mc202b1 652 of 1046 Best = 2.0582000000000003
skipping specimen - no trm acquisition data mc202b1
skipping mc202c1 : no best
skipping mc202d1 : no best
skipping mc202f1 : no best
skipping mc202h1 : no best
skipping mc202j1 : no best
skipping mc203a1 : no best
skipping mc203b1 : no best
skipping mc203c1 : no best
skipping mc203d1 : no best
skipping mc203g1 : no best
skipping mc203h1 : no best
skipping mc204a1 : no best
mc204b1 665 of 1046 Best = 21.512
skipping specimen - no trm acquisition data mc204b1
skipping mc204c1 : no best
skipping mc204h1 : no best
skipping mc204k1 : no best
skipping mc204l1 : no best
skipping mc205a1 : no best
skipping mc205a1-1 : no best
mc205a2 672 of 1046 Best = 43.245
skipping specimen - no trm acquisition data mc205a2
mc205b1 673 of 1046 Best = 30.262
Optimization terminated successfully.
Current function value: 0.000000
Iterations: 119
Function evaluations: 227
Optimization terminated successfully.
Current function value: 0.000000
Iterations: 47
Function evaluations: 90
Banc= 30.264922522967293
1 saved in mc205b1_TRM.png
skipping mc205c1 : no best
skipping mc205d1 : no best
skipping mc205e1 : no best
mc205h1 677 of 1046 Best = 54.802
skipping specimen - no trm acquisition data mc205h1
skipping mc205h2 : no best
mc205i2 679 of 1046 Best = 46.272
skipping specimen - no trm acquisition data mc205i2
mc205k1 680 of 1046 Best = 57.307
skipping specimen - no trm acquisition data mc205k1
skipping mc206a1 : no best
mc206b1 682 of 1046 Best = 77.674
skipping specimen - no trm acquisition data mc206b1
mc206c1 683 of 1046 Best = 95.13000000000001
skipping specimen - no trm acquisition data mc206c1
mc206d1 684 of 1046 Best = 115.89
skipping specimen - no trm acquisition data mc206d1
mc206e1 685 of 1046 Best = 142.6
skipping specimen - no trm acquisition data mc206e1
mc206f1 686 of 1046 Best = 117.67
skipping specimen - no trm acquisition data mc206f1
skipping mc206g1 : no best
skipping mc206h1 : no best
skipping mc206i1 : no best
skipping mc206k1 : no best
skipping mc207a1 : no best
skipping mc207b1 : no best
skipping mc207d1 : no best
skipping mc207g2 : no best
skipping mc207h2 : no best
skipping mc207k2 : no best
skipping mc208a1 : no best
mc208b1 698 of 1046 Best = 22.966
skipping specimen - no trm acquisition data mc208b1
skipping mc208c2 : no best
skipping mc208d2 : no best
skipping mc208e2 : no best
skipping mc208f2 : no best
skipping mc209a1 : no best
skipping mc209b1 : no best
skipping mc209b2 : no best
skipping mc209c2 : no best
skipping mc209e2 : no best
skipping mc209f1 : no best
skipping mc20a : no best
skipping mc20b : no best
skipping mc20c : no best
mc20d 712 of 1046 Best = 19.417
skipping specimen - no trm acquisition data mc20d
skipping mc20e : no best
skipping mc20f : no best
mc20h 715 of 1046 Best = 6.1885
skipping specimen - no trm acquisition data mc20h
skipping mc210a2 : no best
skipping mc210b1 : no best
skipping mc210b2 : no best
skipping mc210c2 : no best
skipping mc210e1 : no best
skipping mc210i2 : no best
skipping mc211a1 : no best
mc211b1 723 of 1046 Best = 96.82
skipping specimen - no trm acquisition data mc211b1
skipping mc211b2 : no best
mc211e1 725 of 1046 Best = 75.197
skipping specimen - no trm acquisition data mc211e1
skipping mc211e2 : no best
mc211g1 727 of 1046 Best = 73.62899999999999
skipping specimen - no trm acquisition data mc211g1
skipping mc211g2 : no best
mc211h1 729 of 1046 Best = 89.472
skipping specimen - no trm acquisition data mc211h1
mc211i1 730 of 1046 Best = 72.265
skipping specimen - no trm acquisition data mc211i1
skipping mc212a1 : no best
skipping mc212b1 : no best
skipping mc212b2 : no best
skipping mc212c2 : no best
skipping mc212d2 : no best
skipping mc212g2 : no best
skipping mc213b1 : no best
skipping mc213e2 : no best
skipping mc213f2 : no best
skipping mc213g2 : no best
skipping mc213h2 : no best
skipping mc213i2 : no best
skipping mc214a2 : no best
mc214b1 744 of 1046 Best = 48.841
skipping specimen - no trm acquisition data mc214b1
skipping mc214b2 : no best
mc214d1 746 of 1046 Best = 42.843
skipping specimen - no trm acquisition data mc214d1
skipping mc214d2 : no best
mc214g1 748 of 1046 Best = 43.812
skipping specimen - no trm acquisition data mc214g1
skipping mc214g2 : no best
mc214h1 750 of 1046 Best = 43.300000000000004
skipping specimen - no trm acquisition data mc214h1
mc214j1 751 of 1046 Best = 40.264
skipping specimen - no trm acquisition data mc214j1
skipping mc214j2 : no best
mc215a1 753 of 1046 Best = 51.161
skipping specimen - no trm acquisition data mc215a1
skipping mc215a2 : no best
mc215b1 755 of 1046 Best = 50.803000000000004
skipping specimen - no trm acquisition data mc215b1
mc215c1 756 of 1046 Best = 16.248
skipping specimen - no trm acquisition data mc215c1
skipping mc215c2 : no best
mc215d1 758 of 1046 Best = 11.825
skipping specimen - no trm acquisition data mc215d1
skipping mc215d2 : no best
mc215h1 760 of 1046 Best = 17.01
skipping specimen - no trm acquisition data mc215h1
skipping mc215h2 : no best
skipping mc215i1 : no best
mc216a1 763 of 1046 Best = 4.7359
skipping specimen - no trm acquisition data mc216a1
skipping mc216a2 : no best
mc216b1 765 of 1046 Best = 5.5174
skipping specimen - no trm acquisition data mc216b1
mc216c1 766 of 1046 Best = 4.2052
skipping specimen - no trm acquisition data mc216c1
skipping mc216c2 : no best
skipping mc216f1 : no best
skipping mc216f2 : no best
skipping mc216g1 : no best
skipping mc216g2 : no best
skipping mc216h2 : no best
mc217a1 773 of 1046 Best = 27.057
Optimization terminated successfully.
Current function value: 0.000000
Iterations: 88
Function evaluations: 169
Optimization terminated successfully.
Current function value: 0.000000
Iterations: 45
Function evaluations: 88
Banc= 26.99010920060046
1 saved in mc217a1_TRM.png
skipping mc217a2 : no best
skipping mc217a2-1 : no best
mc217b1 776 of 1046 Best = 25.301000000000002
skipping specimen - no trm acquisition data mc217b1
skipping mc217b2 : no best
mc217c1 778 of 1046 Best = 35.863
skipping specimen - no trm acquisition data mc217c1
skipping mc217c2 : no best
mc217d1 780 of 1046 Best = 28.92
skipping specimen - no trm acquisition data mc217d1
skipping mc217d2 : no best
mc217e1 782 of 1046 Best = 34.446000000000005
skipping specimen - no trm acquisition data mc217e1
skipping mc217e2 : no best
mc218a1 784 of 1046 Best = 36.967
skipping specimen - no trm acquisition data mc218a1
skipping mc218a2 : no best
mc218b1 786 of 1046 Best = 33.388
skipping specimen - no trm acquisition data mc218b1
skipping mc218b2 : no best
mc218d1 788 of 1046 Best = 35.802
skipping specimen - no trm acquisition data mc218d1
skipping mc218d2 : no best
mc218i1 790 of 1046 Best = 30.540000000000003
skipping specimen - no trm acquisition data mc218i1
skipping mc218i2 : no best
mc218j1 792 of 1046 Best = 34.821
skipping specimen - no trm acquisition data mc218j1
skipping mc218j2 : no best
mc219a1 794 of 1046 Best = 33.416
skipping specimen - no trm acquisition data mc219a1
skipping mc219a2 : no best
mc219b1 796 of 1046 Best = 34.7
skipping specimen - no trm acquisition data mc219b1
skipping mc219b2 : no best
mc219c1 798 of 1046 Best = 27.749000000000002
skipping specimen - no trm acquisition data mc219c1
skipping mc219c2 : no best
mc219d1 800 of 1046 Best = 26.239
skipping specimen - no trm acquisition data mc219d1
skipping mc219d2 : no best
mc219e1 802 of 1046 Best = 33.582
skipping specimen - no trm acquisition data mc219e1
skipping mc219e2 : no best
mc21a 804 of 1046 Best = 48.288000000000004
skipping specimen - no trm acquisition data mc21a
mc21b 805 of 1046 Best = 44.481
skipping specimen - no trm acquisition data mc21b
mc21c 806 of 1046 Best = 46.888999999999996
skipping specimen - no trm acquisition data mc21c
skipping mc21d : no best
mc21e 808 of 1046 Best = 40.474
skipping specimen - no trm acquisition data mc21e
skipping mc21f : no best
skipping mc21g : no best
skipping mc21h : no best
mc220a1 812 of 1046 Best = 54.211
skipping specimen - no trm acquisition data mc220a1
skipping mc220a2 : no best
mc220b1 814 of 1046 Best = 54.910000000000004
skipping specimen - no trm acquisition data mc220b1
skipping mc220b2 : no best
mc220c1 816 of 1046 Best = 52.954
skipping specimen - no trm acquisition data mc220c1
skipping mc220c2 : no best
mc220d1 818 of 1046 Best = 55.099000000000004
skipping specimen - no trm acquisition data mc220d1
skipping mc220d2 : no best
mc220e1 820 of 1046 Best = 52.783
skipping specimen - no trm acquisition data mc220e1
skipping mc220f2 : no best
skipping mc221b1 : no best
skipping mc221c1 : no best
skipping mc221d2 : no best
skipping mc221h2 : no best
skipping mc221i2 : no best
skipping mc221j2 : no best
skipping mc222a1 : no best
mc222b1 829 of 1046 Best = 12.673
skipping specimen - no trm acquisition data mc222b1
skipping mc222c1 : no best
skipping mc222e1 : no best
skipping mc222h2 : no best
skipping mc222j2 : no best
mc223a1 834 of 1046 Best = 21.524
skipping specimen - no trm acquisition data mc223a1
skipping mc223a2 : no best
mc223b1 836 of 1046 Best = 21.483999999999998
skipping specimen - no trm acquisition data mc223b1
skipping mc223c1 : no best
mc223c2 838 of 1046 Best = 24.791
skipping specimen - no trm acquisition data mc223c2
skipping mc223d1 : no best
skipping mc223e1 : no best
skipping mc223f1 : no best
mc223g1 842 of 1046 Best = 18.31
skipping specimen - no trm acquisition data mc223g1
mc223l1 843 of 1046 Best = 16.496
skipping specimen - no trm acquisition data mc223l1
skipping mc224a1 : no best
skipping mc224b1 : no best
skipping mc224b2 : no best
skipping mc224c2 : no best
skipping mc224e2 : no best
skipping mc224f2 : no best
mc225a1 850 of 1046 Best = 25.519000000000002
skipping specimen - no trm acquisition data mc225a1
skipping mc225a2 : no best
mc225b1 852 of 1046 Best = 25.846999999999998
skipping specimen - no trm acquisition data mc225b1
mc225c1 853 of 1046 Best = 25.956
skipping specimen - no trm acquisition data mc225c1
skipping mc225c2 : no best
mc225d1 855 of 1046 Best = 30.36
skipping specimen - no trm acquisition data mc225d1
skipping mc225d2 : no best
skipping mc225f2 : no best
skipping mc225g2 : no best
mc225i1 859 of 1046 Best = 32.043
skipping specimen - no trm acquisition data mc225i1
skipping mc226a1 : no best
mc226b1 861 of 1046 Best = 25.276999999999997
skipping specimen - no trm acquisition data mc226b1
skipping mc226b2 : no best
skipping mc226d2 : no best
skipping mc226f2 : no best
skipping mc226g2 : no best
mc227b1 866 of 1046 Best = 14.907
skipping specimen - no trm acquisition data mc227b1
skipping mc227b2 : no best
skipping mc227c2 : no best
skipping mc227d2 : no best
skipping mc227f2 : no best
skipping mc227h2 : no best
mc228a1 872 of 1046 Best = 10.568
skipping specimen - no trm acquisition data mc228a1
skipping mc228a2 : no best
mc228b1 874 of 1046 Best = 10.556000000000001
skipping specimen - no trm acquisition data mc228b1
skipping mc228b2 : no best
mc228d1 876 of 1046 Best = 13.165000000000001
skipping specimen - no trm acquisition data mc228d1
skipping mc228d2 : no best
mc228e1 878 of 1046 Best = 12.293000000000001
skipping specimen - no trm acquisition data mc228e1
skipping mc228e2 : no best
mc228g1 880 of 1046 Best = 17.339000000000002
skipping specimen - no trm acquisition data mc228g1
skipping mc228g2 : no best
skipping mc229a2 : no best
skipping mc229b1 : no best
skipping mc229b2 : no best
skipping mc229e2 : no best
mc229g1 886 of 1046 Best = 34.233000000000004
skipping specimen - no trm acquisition data mc229g1
skipping mc229g2 : no best
mc229h1 888 of 1046 Best = 26.781
skipping specimen - no trm acquisition data mc229h1
skipping mc229h2 : no best
mc229i1 890 of 1046 Best = 30.434
skipping specimen - no trm acquisition data mc229i1
mc229k1 891 of 1046 Best = 32.671
skipping specimen - no trm acquisition data mc229k1
mc26a 892 of 1046 Best = 38.491
skipping specimen - no trm acquisition data mc26a
skipping mc26b : no best
mc26c 894 of 1046 Best = 22.822
skipping specimen - no trm acquisition data mc26c
mc26d 895 of 1046 Best = 32.531
skipping specimen - no trm acquisition data mc26d
mc26e 896 of 1046 Best = 58.436
skipping specimen - no trm acquisition data mc26e
skipping mc26f : no best
skipping mc26g : no best
skipping mc26h : no best
mc28a 900 of 1046 Best = 27.106
skipping specimen - no trm acquisition data mc28a
mc28b 901 of 1046 Best = 12.902
skipping specimen - no trm acquisition data mc28b
mc28c 902 of 1046 Best = 25.694000000000003
skipping specimen - no trm acquisition data mc28c
skipping mc28d : no best
skipping mc28e : no best
mc28f 905 of 1046 Best = 29.26
skipping specimen - no trm acquisition data mc28f
skipping mc28g : no best
skipping mc28h : no best
skipping mc29a : no best
skipping mc29b : no best
skipping mc29c : no best
mc29d 911 of 1046 Best = 30.445
skipping specimen - no trm acquisition data mc29d
skipping mc29e : no best
skipping mc29f : no best
skipping mc29g : no best
skipping mc29h : no best
mc30a 916 of 1046 Best = 42.782
skipping specimen - no trm acquisition data mc30a
mc30b 917 of 1046 Best = 42.202
skipping specimen - no trm acquisition data mc30b
skipping mc30c : no best
mc30d 919 of 1046 Best = 42.455
skipping specimen - no trm acquisition data mc30d
mc30e 920 of 1046 Best = 43.085
skipping specimen - no trm acquisition data mc30e
skipping mc30f : no best
skipping mc30g : no best
skipping mc30h : no best
mc31b 924 of 1046 Best = 14.018
skipping specimen - no trm acquisition data mc31b
skipping mc31c : no best
skipping mc31d : no best
skipping mc31f : no best
skipping mc31h : no best
mc32a 929 of 1046 Best = 29.437
skipping specimen - no trm acquisition data mc32a
mc32b 930 of 1046 Best = 32.111
skipping specimen - no trm acquisition data mc32b
skipping mc32c : no best
mc32d 932 of 1046 Best = 39.678999999999995
skipping specimen - no trm acquisition data mc32d
mc32e 933 of 1046 Best = 28.057
skipping specimen - no trm acquisition data mc32e
skipping mc32f : no best
skipping mc32g : no best
skipping mc32h : no best
skipping mc33a : no best
mc33b 938 of 1046 Best = 37.315
skipping specimen - no trm acquisition data mc33b
mc33c 939 of 1046 Best = 32.118
skipping specimen - no trm acquisition data mc33c
skipping mc33d : no best
mc33e 941 of 1046 Best = 32.316
skipping specimen - no trm acquisition data mc33e
skipping mc33f : no best
skipping mc33g : no best
skipping mc33h : no best
skipping mc34a : no best
skipping mc34b : no best
mc34c 947 of 1046 Best = 23.047
skipping specimen - no trm acquisition data mc34c
skipping mc34d : no best
skipping mc34e : no best
skipping mc34f : no best
skipping mc34h : no best
mc35a 952 of 1046 Best = 23.831
skipping specimen - no trm acquisition data mc35a
mc35b 953 of 1046 Best = 22.151
skipping specimen - no trm acquisition data mc35b
mc35c 954 of 1046 Best = 23.294999999999998
skipping specimen - no trm acquisition data mc35c
mc35d 955 of 1046 Best = 26.063000000000002
skipping specimen - no trm acquisition data mc35d
skipping mc35e : no best
skipping mc35f : no best
skipping mc35g : no best
skipping mc35h : no best
mc36a 960 of 1046 Best = 29.828
skipping specimen - no trm acquisition data mc36a
mc36b 961 of 1046 Best = 25.085
skipping specimen - no trm acquisition data mc36b
skipping mc36c : no best
skipping mc36d : no best
mc36e 964 of 1046 Best = 22.808
skipping specimen - no trm acquisition data mc36e
skipping mc36f : no best
skipping mc36g : no best
mc36h 967 of 1046 Best = 25.029
skipping specimen - no trm acquisition data mc36h
skipping mc37a : no best
skipping mc37b : no best
mc37c 970 of 1046 Best = 62.835
skipping specimen - no trm acquisition data mc37c
mc37d 971 of 1046 Best = 52.525999999999996
skipping specimen - no trm acquisition data mc37d
mc37e 972 of 1046 Best = 62.544000000000004
skipping specimen - no trm acquisition data mc37e
skipping mc37f : no best
skipping mc37g : no best
mc37h 975 of 1046 Best = 63.644000000000005
skipping specimen - no trm acquisition data mc37h
skipping mc38a : no best
skipping mc38b : no best
skipping mc38c : no best
skipping mc38e : no best
skipping mc38f : no best
mc38g 981 of 1046 Best = 28.373
skipping specimen - no trm acquisition data mc38g
skipping mc38h : no best
mc39a 983 of 1046 Best = 25.953
skipping specimen - no trm acquisition data mc39a
mc39b 984 of 1046 Best = 33.651
skipping specimen - no trm acquisition data mc39b
mc39c 985 of 1046 Best = 22.065
skipping specimen - no trm acquisition data mc39c
skipping mc39d : no best
skipping mc39e : no best
skipping mc39f : no best
skipping mc39g : no best
skipping mc39h : no best
skipping mc40a : no best
skipping mc40b : no best
skipping mc40c : no best
mc40e 994 of 1046 Best = 39.356
skipping specimen - no trm acquisition data mc40e
skipping mc40f : no best
skipping mc40g : no best
skipping mc40h : no best
skipping mc41a : no best
skipping mc41b : no best
skipping mc41c : no best
skipping mc41d : no best
skipping mc41e : no best
skipping mc41f : no best
skipping mc41h : no best
skipping mc42b : no best
skipping mc42c : no best
skipping mc42d : no best
skipping mc42f : no best
skipping mc42h : no best
skipping mc43a : no best
skipping mc43b : no best
skipping mc43c : no best
skipping mc43e : no best
mc43f 1014 of 1046 Best = 11.780999999999999
skipping specimen - no trm acquisition data mc43f
skipping mc43g : no best
mc44a 1016 of 1046 Best = 32.555
skipping specimen - no trm acquisition data mc44a
mc44b 1017 of 1046 Best = 24.98
skipping specimen - no trm acquisition data mc44b
skipping mc44c : no best
skipping mc44d : no best
skipping mc44e : no best
skipping mc44f : no best
mc44g 1022 of 1046 Best = 12.024000000000001
skipping specimen - no trm acquisition data mc44g
mc44h 1023 of 1046 Best = 17.023
skipping specimen - no trm acquisition data mc44h
skipping mc48a : no best
skipping mc48b : no best
skipping mc48c : no best
skipping mc48d : no best
skipping mc48e : no best
mc48f 1029 of 1046 Best = 15.402
skipping specimen - no trm acquisition data mc48f
mc48g 1030 of 1046 Best = 15.044
skipping specimen - no trm acquisition data mc48g
skipping mc48h : no best
skipping mc49a : no best
skipping mc49b : no best
skipping mc49c : no best
skipping mc49d : no best
skipping mc49e : no best
skipping mc49g : no best
skipping mc49h : no best
mc50a 1039 of 1046 Best = 35.747
skipping specimen - no trm acquisition data mc50a
mc50b 1040 of 1046 Best = 34.048
skipping specimen - no trm acquisition data mc50b
skipping mc50c : no best
skipping mc50d : no best
mc50e 1043 of 1046 Best = 33.958999999999996
skipping specimen - no trm acquisition data mc50e
mc50f 1044 of 1046 Best = 31.189999999999998
skipping specimen - no trm acquisition data mc50f
skipping mc50g : no best
skipping mc50h : no best
6 records written to file NLT_specimens.txt
In [230]:
Image("mc117b1_TRM.png")
Out[230]:
uniform.py¶
In [231]:
!uniform.py -n 50
244.7 -9.9
248.0 23.2
213.7 -22.4
82.0 1.4
77.7 15.7
14.9 -37.9
159.8 18.9
187.0 74.6
15.3 -33.8
123.9 3.2
38.6 12.8
316.1 70.1
302.0 9.8
243.2 -14.9
107.9 38.3
208.0 -63.0
182.2 18.2
7.9 -61.9
236.1 0.9
230.3 23.4
171.2 -43.6
262.8 31.2
99.2 -12.7
153.9 -47.8
109.6 -51.0
152.1 52.8
129.2 -7.3
140.0 -36.6
2.1 65.9
7.0 24.9
96.4 -62.8
244.5 32.0
195.5 78.9
265.0 -1.4
179.6 -65.6
305.2 -9.0
75.4 6.8
288.6 57.8
13.8 -39.3
194.2 -45.7
93.5 27.4
347.5 -18.2
239.1 -72.0
103.9 38.3
44.5 62.9
57.2 30.4
233.3 82.7
123.2 44.2
358.3 -21.6
300.5 48.2
In [232]:
!uniform.py -n 50 > data_files/uniform/uniform.out
!eqarea.py -f data_files/uniform/uniform.out -fmt png -sav
1 saved in uniform_eq.png
In [233]:
Image(filename='uniform_eq.png')
Out[233]:
update_measurements.txt¶
This program has been superceded by Pmag GUI, so you should use that.
upload_magic.py¶
program has been superceded by Pmag GUI, so you should use that.
utrecht_magic.py¶
In [234]:
!utrecht_magic.py -f data_files/convert_2_magic/UTRECHT_magic/Utrecht_Example.af
adding measurement column to measurements table! -I- overwriting /Users/nebula/Python/PmagPy/measurements.txt -I- 350 records written to measurements file -I- overwriting /Users/nebula/Python/PmagPy/specimens.txt -I- 25 records written to specimens file -I- overwriting /Users/nebula/Python/PmagPy/samples.txt -I- 3 records written to samples file -I- overwriting /Users/nebula/Python/PmagPy/sites.txt -I- 3 records written to sites file -I- overwriting /Users/nebula/Python/PmagPy/locations.txt -I- 1 records written to locations file -I- overwriting /Users/nebula/Python/PmagPy/measurements.txt -I- 350 records written to measurements file
vdm_b.py¶
In [235]:
!vdm_b.py -f data_files/vdm_b/vdm_b_example.dat
3.300e-05
In [236]:
!cat data_files/b_vdm/b_vdm_example.dat
33 22
vector_mean.py¶
In [237]:
!vector_mean.py -f data_files/vector_mean/vector_mean_example.dat
1.3 49.6 2.289e+06 100
vgp_di.py¶
In [238]:
!vgp_di.py -f data_files/vgp_di/vgp_di_example.dat
335.6 62.9
vgpmap_magic.py¶
In [239]:
!vgpmap_magic.py -WD data_files/3_0/McMurdo -f sites.txt -crd g -prj ortho -eye 60 0 -sym ko 10 -fmt png -S -sav
1 saved in McMurdo_VGP_map.png
In [240]:
if basemap_present:
image = Image("McMurdo_VGP_map.png")
else:
image = None
image
Out[240]:
vgpmap_magic2.py¶
In [241]:
!vgpmap_magic2.py -f data_files/vgpmap_magic/pmag_results.txt \
-crd g -prj ortho -eye 60 0 -etp -sym wo 10 -fmt png -sav
1 saved in Snake_River_VGP_map.png
In [242]:
if basemap_present:
image = Image(filename='Snake_River_VGP_map.png')
else:
image = None
image
Out[242]:
watsons_f.py¶
In [243]:
!watsons_f.py -f data_files/watsons_f/watsons_f_example_file1.dat \
-f2 data_files/watsons_f/watsons_f_example_file2.dat
5.23 3.26
watsons_v.py¶
In [244]:
!watsons_v.py -f data_files/watsons_f/watsons_f_example_file1.dat \
-f2 data_files/watsons_f/watsons_f_example_file2.dat -fmt png -sav
Watson's V, Vcrit:
10.5 6.6
1 saved in watsons_v_watsons_f_example_file1_watsons_f_example_file2.png
In [245]:
Image(filename="watsons_v_watsons_f_example_file1_watsons_f_example_file2.png")
Out[245]:
zeq.py¶
This program requires interaction and can only be run from the command line.
In [246]:
!zeq_magic.py -WD data_files/3_0/McMurdo -spc mc01a -fmt png
Image('mc01a_eqarea.png')
mc01a 1 out of 1038 1 saved in mc01a_eqarea.png 2 saved in mc01a_zijd.png 3 saved in mc01a_demag.png
Out[246]:
cleanup the directory¶
In [253]:
import os
import glob
import shutil
glob_list = ['data_files/irmaq_magic/*.magic', '*.magic', '*.png', '*.jpg',
'data_files/convert_2_magic/mini_magic/s*.txt', 'data_files/convert_2_magic/s_magic/*.txt',
'data_files/irmaq_magic/coil*.txt', 'rmag_*.txt', 'data_files/orientation_magic/s*.txt',
'data_files/mk_redo/*redo*', 'data_files/nrm_specimens_magic/s*.txt', 'data_files/irmaq_magic/s*.txt',
'data_files/download_magic/pmag_s*.txt']
for pattern in glob_list:
for fname in glob.glob(pattern):
os.remove(fname)
files_to_remove = ["data_files/aarm_magic/aarm_measurements.txt", "data_files/irmaq_magic/magic_measurements.txt",
"data_files/download_magic/er_ages.txt", "data_files/download_magic/er_citations.txt",
"data_files/azdip_magic/er_samples.txt", "data_files/azdip_magic/samples.txt",
"data_files/convert_2_magic/mini_magic/locations.txt",
"data_files/convert_2_magic/mini_magic/measurements.txt", "measurements.txt", 'specimens.txt',
'sites.txt', 'locations.txt', 'stored.json', 'data_files/nrm_specimens_magic/criteria.txt',
'data_files/download_magic/er_locations.txt', 'data_files/download_magic/pmag_results.txt',
'data_files/nrm_specimens_magic/measurements.txt', 'data_files/nrm_specimens_magic/locations.txt',
'data_files/nrm_specimens_magic/contribution.txt', 'data_files/nrm_specimens_magic/ages.txt',
'data_files/irmaq_magic/locations.txt', 'data_files/download_magic/specimens.txt',
'data_files/download_magic/samples.txt', 'data_files/download_magic/locations.txt',
'data_files/download_magic/contribution.txt', 'data_files/download_magic/criteria.txt',
'data_files/download_magic/ages.txt', 'data_files/download_magic/measurements.txt']
for fname in files_to_remove:
try:
os.remove(fname)
except FileNotFoundError:
pass
for dtype in ['specimens.txt', 'samples.txt', 'sites.txt', 'locations.txt']:
try:
os.remove(dtype)
except FileNotFoundError:
pass
for fname in os.listdir():
if fname.endswith(dtype):
os.remove(fname)
# remove all MagIC-generated files from a given directory
def remove_magic_files(directory):
magic_files = ['specimens.txt', 'samples.txt', 'sites.txt', 'locations.txt', 'measurements.txt',
'contribution.txt', 'ages.txt']
dir_files = os.listdir(directory)
for dtype in magic_files:
try:
os.remove(dtype)
except FileNotFoundError:
pass
for fname in dir_files:
if fname.endswith(dtype):
try:
os.remove(os.path.join(directory, fname))
except FileNotFoundError:
pass
for full_fname in glob.glob(os.path.join(directory, '*.magic')):
os.remove(full_fname)